Source: https://publish.illinois.edu/varshney/publications/
Timestamp: 2019-04-22 13:10:33+00:00

Document:
T.-Y. Wu, L. R. Varshney, and V. Y. F. Tan, “On the Throughput of Channels that Wear Out,” IEEE Transactions on Communications, to appear.
 D. Seo and L. R. Varshney, “Information and Energy Transmission with Experimentally-Sampled Harvesting Functions,” IEEE Transactions on Communications, to appear.
 L. R. Varshney, “Mathematical Limit Theorems for Computational Creativity,” IBM Journal of Research and Development, vol. 63, no. 1, pp. 2:1-2:12, January/February 2019.
 L. R. Varshney, F. Pinel, K. R. Varshney, D. Bhattacharjya, A. Schoergendorfer, and Y.-M. Chee, “A Big Data Approach to Computational Creativity: The Curious Case of Chef Watson,” IBM Journal of Research and Development, vol. 63, no. 1, pp. 7:1-7:18, January/February 2019.
 L. R. Varshney, “Must Surprise Trump Information?,” IEEE Technology and Society Magazine, vol. 38, no. 1, pp. 81–87, March 2019.
 Y. Kim, R. K. Raman, Y.-S. Kim, L. R. Varshney, and N. R. Shanbhag, “Efficient Local Secret Sharing for Distributed Blockchain Systems,” IEEE Communications Letters, vol. 23, no. 2, pp. 282–285, February 2019.
 N. R. Shanbhag, N. Verma, Y. Kim, A. D. Patil, and L. R. Varshney, “Shannon-inspired Statistical Computing for the Nanoscale Era,” Proceedings of the IEEE, vol. 107, no. 1, pp. 90–107, January 2019.
 A. Sarathy, N. B. M. Athreya, L. R. Varshney, and J.-P. Leburton, “Classification of Epigenetic Biomarkers with Atomically Thin Nanopores,” Journal of Physical Chemistry Letters, vol. 9, no. 19, pp. 5718–5725, October 2018.
 R. K. Raman and L. R. Varshney, “Universal Joint Image Clustering and Registration using Multivariate Information Measures,” IEEE Journal of Selected Topics in Signal Processing, vol. 12, no. 4, pp. 928–943, October 2018.
 Y. Kim, M. Kang, L. R. Varshney, and N. R. Shanbhag, “Generalized Water-Filling for Source-Aware Energy-Efficient SRAMs,” IEEE Transactions on Communications, vol. 66, no. 10, pp. 4826–4841, October 2018.
 M. Kazama, M. Sugimoto, C. Hosokawa, K. Matsushima, L. R. Varshney, and Y. Ishikawa, “A Neural Network System for Transformation of Regional Cuisine Style,” Frontiers in ICT, vol. 5, no. 14, July 2018.
 A. Vempaty, L. R. Varshney, G. J. Koop, A. H. Criss, and P. K. Varshney, “Experiments and Models for Decision Fusion by Humans in Inference Networks,” IEEE Transactions on Signal Processing, vol. 66, no. 11, pp. 2960–2971, June 2018.
 A. Chatterjee, M. Borokhovich, L. R. Varshney, and S. Vishwanath, “Efficient and Flexible Crowdsourcing of Specialized Tasks with Precedence Constraints,” IEEE/ACM Transactions on Networking, vol. 26, no. 2, pp. 879–892, April 2018.
 A. J. Gross, D. Murthy, and L. R. Varshney, “Pace of Life in Cities and the Emergence of Town Tweeters,” SAGE Open, vol. 7, no. 4, October-December 2017.
 A. Chatterjee, L. R. Varshney, and S. Vishwanath, “Work Capacity of Regulated Freelance Platforms: Fundamental Limits and Decentralized Schemes,” IEEE/ACM Transactions on Networking, vol. 25, no. 6, pp. 3641–3654, December 2017.
 I. Lobel, E. Sadler, and L. R. Varshney, “Customer Referral Incentives and Social Media,” Management Science, vol. 63, no. 10, pp. 3514–3529, October 2017.
 A. Sharma, K. Jagannathan, and L. R. Varshney, “Queuing Approaches to Principal-Agent Communication under Information Overload,” IEEE Transactions on Information Theory, vol. 63, no. 9, pp. 6041–6058, September 2017.
 N. Kshetry and L. R. Varshney, “Foodsheds in Virtual Water Flow Networks: A Spectral Graph Theory Approach,” Frontiers in ICT, vol. 4, no. 17, June 2017.
 A. Chatterjee, D. Seo, and L. R. Varshney, “Capacity of Systems with Queue-Length Dependent Service Quality,” IEEE Transactions on Information Theory, vol. 63, no. 6, pp. 3950–3963, June 2017.
 F. Ji, W. P. Tay, and L. R. Varshney, “An Algorithmic Framework for Estimating Rumor Sources with Different Start Times,” IEEE Transactions on Signal Processing, vol. 65, no. 10, pp. 2517–2530, May 2017.
 L. Chang, A. Chatterjee, and L. R. Varshney, “Performance of LDPC Decoders with Missing Connections,” IEEE Transactions on Communications, vol. 65, no. 2, pp. 511–524, February 2017.
 Q. Li, A. Vempaty, L. R. Varshney, and P. K. Varshney, “Multi-object Classification via Crowdsourcing with a Reject Option,” IEEE Transactions on Signal Processing, vol. 65, no. 4, pp. 1068–1081, February 2017.
 L. R. Varshney and K. R. Varshney, “Decision Making with Quantized Priors Leads to Discrimination,” Proceedings of the IEEE, vol. 105, no. 2, pp. 241–255, February 2017.
 L. R. Varshney, J. Kusuma, and V. K. Goyal, “On Palimpsests in Neural Memory: An Information Theory Viewpoint,” IEEE Transactions on Molecular, Biological, and Multi-Scale Communications, vol. 2, no. 2, pp. 143–153, December 2016.
 L. R. Varshney, J. Kusuma, and V. K. Goyal, “Malleable Coding for Updatable Cloud Caching,” IEEE Transactions on Communications, vol. 64, no. 12, pp. 4946–4955, December 2016.
 L. R. Varshney, J. Wang, and K. R. Varshney, “Associative Algorithms for Computational Creativity,” Journal of Creative Behavior, vol. 50, no. 3, pp. 211–223, September 2016.
 A. Tandon, M. Motani, and L. R. Varshney, “Subblock-Constrained Codes for Real-Time Simultaneous Energy and Information Transfer,” IEEE Transactions on Information Theory, vol. 62, no. 7, pp. 4212–4227, July 2016.
 K. R. Varshney and L. R. Varshney, “Olfactory Signal Processing,” Digital Signal Processing, vol. 48, pp. 84–92, January 2016.
 M. Hasegawa-Johnson, J. Cole, P. Jyothi, and L. R. Varshney, “Models of Dataset Size, Question Design, and Cross-Language Speech Perception for Speech Crowdsourcing Applications,” Laboratory Phonology, vol. 6, no. 3-4, pp. 381–431, October 2015.
 B. He, A. Wein, L. R. Varshney, J. Kusuma, A. G. Richardson, and L. Srinivasan, “Generalized Analog Thresholding for Spike Acquisition at Ultra-Low Sampling Rates,” Journal of Neurophysiology, vol. 114, no. 1, pp. 746–760, July 2015.
 A. Vempaty and L. R. Varshney, “The Non-Regular CEO Problem,” IEEE Transactions on Information Theory, vol. 61, no. 5, pp. 2764–2775, May 2015.
 K. R. Varshney and L. R. Varshney, “Optimal Grouping for Group Minimax Hypothesis Testing,” IEEE Transactions on Information Theory, vol. 60, no. 10, pp. 6511–6521, October 2014.
 H. Chen, L. R. Varshney, and P. K. Varshney, “Noise-Enhanced Information Systems,” Proceedings of the IEEE, vol. 102, no. 10, pp. 1607–1621, October 2014.
 A. Karbasi, A. H. Salavati, A. Shokrollahi, and L. R. Varshney, “Noise Facilitation in Associative Memories of Exponential Capacity,” Neural Computation, vol. 26, no. 11, pp. 2493–2526, November 2014.
 A. Vempaty, L. R. Varshney, and P. K. Varshney, “Reliable Crowdsourcing for Multi-Class Labeling using Coding Theory,” IEEE Journal of Selected Topics in Signal Processing, vol. 8, no. 4, pp. 667–679, August 2014.
 S. U. Appel, D. Botti, J. Jamison, L. Plant, J. Y. Shyr, and L. R. Varshney, “Predictive Analytics can Facilitate Proactive Property Vacancy Policies for Cities,” Technological Forecasting and Social Change, vol. 89, pp. 161–173, November 2014.
 L. R. Varshney, “The Wiring Economy Principle for Designing Inference Networks,” IEEE Journal on Selected Areas in Communications, vol. 31, no. 6, pp. 1095–1104, June 2013.
 L. R. Varshney and J. Z. Sun, “Why Do We Perceive Logarithmically?,” Significance, vol. 10, no. 1, pp. 28–31, February 2013.
 J. Z. Sun, G. I. Wang, V. K. Goyal, and L. R. Varshney, “A Framework for Bayesian Optimality of Psychophysical Laws,” Journal of Mathematical Psychology, vol. 56, no. 6, pp. 495–501, December 2012.
 L. R. Varshney, S. K. Mitter, and V. K. Goyal, “An Information-Theoretic Characterization of Channels That Die,” IEEE Transactions on Information Theory, vol. 58, no. 9, pp. 5711–5724, September 2012.
 J. B. Rhim, L. R. Varshney, and V. K. Goyal, “Quantization of Prior Probabilities for Collaborative Distributed Hypothesis Testing,” IEEE Transactions on Signal Processing, vol. 60, no. 9, pp. 4537–4550, September 2012.
 L. R. Varshney, “The Google Effect in Doctoral Theses,” Scientometrics, vol. 92, no. 3, pp. 785–793, September 2012.
 L. R. Varshney and S. K. Mitter, “Sensitivity of Quadratic Gaussian Matching to Interference,” IEEE Communications Letters, vol. 15, no. 9, pp. 922–924, September 2011.
 V. Misra, V. K. Goyal, and L. R. Varshney, “Distributed Scalar Quantization for Computing: High-Resolution Analysis and Extensions,” IEEE Transactions on Information Theory, vol. 57, no. 8, pp. 5298–5325, August 2011.
 H. Q. Nguyen, V. K. Goyal, and L. R. Varshney, “Frame Permutation Quantization,” Applied and Computational Harmonic Analysis, vol. 31, no. 1, pp. 74–97, July 2011.
 L. R. Varshney “Performance of LDPC Codes Under Faulty Iterative Decoding,” IEEE Transactions on Information Theory, vol. 57, no. 7, pp. 4427–4444, July 2011.
 L. R. Varshney, B. L. Chen, E. Paniagua, D. H. Hall, and D. B. Chklovskii, “Structural Properties of the Caenorhabditis elegans Neuronal Network,” PLoS Computational Biology, vol. 7, no. 2, e1001066, February 2011.
 H. Q. Nguyen, L. R. Varshney, and V. K. Goyal, “Concentric Permutation Source Codes,” IEEE Transactions on Communications, vol. 58, no. 11, pp. 3154–3164, November 2010.
 K. R. Varshney and L. R. Varshney, “Quantization of Prior Probabilities for Hypothesis Testing,” IEEE Transactions on Signal Processing, vol. 56, no. 10, pp. 4553–4562, October 2008.
 L. R. Varshney, “Local Fidelity, Constrained Codes, and the Meru Prastara,” IEEE Potentials, vol. 27, no. 2, pp. 27–32, March/April 2008.
 L. R. Varshney, P. J. Sjöström, and D. B. Chklovskii, “Optimal Information Storage in Noisy Synapses under Resource Constraints,” Neuron, vol. 52, no. 3, pp. 409–423, November 2006.
 L. R. Varshney and J. Z. Sun, “Why Do We Perceive Logarithmically?,” in The Best Writing on Mathematics 2014, M. Pitici (ed.), Princeton University Press, 2014: pp. 64-73.
 R. K. Raman and L. R. Varshney, “Universal Clustering” in Information-Theoretic Methods in Data Science, Y. Eldar and M. Rodrigues (eds.), Cambridge University Press, 2019, to appear.
 L. R. Varshney, “Dimensions, Bits, and Wows in Accelerating Materials Discovery,” in Materials Discovery and Design, T. Lookman, S. Eidenbenz, F. Alexander, and C. Barnes (eds.), Springer Nature, 2018, pp. 1–14.
 G. V. Ranade and L. R. Varshney, “The Role of Information Patterns in Designing Crowdsourcing Contests,” in Creating and Capturing Value Through Crowdsourcing, C. Tucci, A. Afuah, and G. Viscusi (eds.), Oxford University Press, 2018, pp. 154–177.
 R. Vaculin, Y.-M. Chee, D. V. Oppenheim, and L. R. Varshney, “A Service-Oriented Algebra for Optimizing the Management of Service Requests,” in Maximizing Management Performance and Quality with Service Analytics, Y. Diao and D. Rosu (eds.), IGI Global, 2015, pp. 347–375.
 F. Pinel, L. R. Varshney, and D. Bhattacharjya, “A Culinary Computational Creativity System,” in Computational Creativity Research: Towards Creative Machines, T. R. Besold, M. Schorlemmer, and A. Smaill (eds.), Springer, 2015: pp. 327–346.
 D. V. Oppenheim, L. R. Varshney, and Y.-M. Chee, “Work as a Service,” in Advanced Web Services, A. Bouguettaya, Q. Z. Sheng, and F. Daniel (eds.), Springer, 2014: pp. 409–430.
 J. B. Rhim, L. R. Varshney, and V. K. Goyal, “Distributed Decision Making by Categorically-Thinking Agents,” in Decision Making and Imperfection, T. V. Guy, M. Karny, and D. H. Wolpert (eds.), Springer, 2013: pp. 37–63.
 L. R. Varshney and S. D. Servetto, “A Distributed Transmitter for the Sensor Reachback Problem Based on Radar Signals,” in Advances in Pervasive Computing and Networking, B. K. Szymanski and B. Yener (eds.), Boston: Kluwer Academic Publishers, 2005: pp. 37–63.
 D. Seo and L. R. Varshney, “The CEO Problem with rth Power of Difference Distortion,” to appear in Proceedings of the 2019 IEEE International Symposium on Information Theory (ISIT), Paris, France, 7-12 July 2019.
 D. Seo and L. R. Varshney, “Information and Energy Transmission with Experimentally-Sampled Harvesting Functions,” to appear in Proceedings of the 2019 IEEE International Symposium on Information Theory (ISIT), Paris, France, 7-12 July 2019.
 E. Dupraz and L. R. Varshney, “Binary Recursive Estimation on Noisy Hardware,” to appear in Proceedings of the 2019 IEEE International Symposium on Information Theory (ISIT), Paris, France, 7-12 July 2019.
 T.-Y. Wu, A. Tandon, L. R. Varshney, and M. Motani, “Multicasting Energy and Information Simultaneously,” to appear in Proceedings of the 2019 IEEE International Symposium on Information Theory (ISIT), Paris, France, 7-12 July 2019.
 T. Mamalis, S. Bose, and L. R. Varshney, “Ridesharing Systems with Electric Vehicles,” to appear in Proceedings of the 2019 American Control Conference (ACC), Philadelphia, Pennsylvania, 10-12 July 2019.
 S. Basu and L. R. Varshney, “Polar Codes for Simultaneous Information and Energy Transmission,” to appear in Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Cannes, France, 2-5 July 2019.
 H. Zhou, A. Jagmohan, and L. R. Varshney, “Generalized Jordan Center: A Source Localization Heuristic for Noisy and Incomplete Observations,” to appear in Proceedings of the IEEE Data Science Workshop (DSW), Minneapolis, Minnesota, 2-5 June 2019.
 R. Chen and L. R. Varshney, “Non-negative Matrix Factorization of Clustered Data with Missing Values,” to appear in Proceedings of the IEEE Data Science Workshop (DSW), Minneapolis, Minnesota, 2-5 June 2019.
 N. Kshetry and L. R. Varshney, “Safety in the Face of Unknown Unknowns: Algorithm Fusion in Data-Driven Engineering Systems,” to appear in Proceedings of the 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, England, 12-17 May 2019.
 I. Chien, H. Zhou, and P. Li, “HS2: Active Learning over Hypergraphs,” to appear in Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS 2019), Okinawa, Japan, 16-18 April 2019.
 X. Ge, R. T. Goodwin, J. R. Gregory, R. E. Kirchain, J. Maria, and L. R. Varshney,” Accelerated Discovery of Sustainable Building Materials,” in Proceedings of the AAAI Spring Symposium on Towards AI for Collaborative Open Science, Palo Alto, California, 25-27 March 2019.
 L. R. Varshney, “Towards Information-Theoretic Limits of the Global Neuronal Workspace Architecture,” in Proceedings of the AAAI Spring Symposium on Towards Conscious AI Systems, Palo Alto, California, 25-27 March 2019.
 R. Chen, A. B. Das, and L. R. Varshney, “Registration for Image-Based Transcriptomics: Parametric Signal Features and Multivariate Information Measures,” in Proceedings of the 53rd Annual Conference on Information Sciences and Systems (CISS), Baltimore, Maryland, 20-22 March 2019.
 T. Mamalis, S. Bose, and L. R. Varshney, “Business-to-Peer Carsharing Systems with Electric Vehicles,” in Proceedings of the 53rd Annual Conference on Information Sciences and Systems (CISS), Baltimore, Maryland, 20-22 March 2019.
 H. Yu, I. Mineyev, and L. R. Varshney, “To Abstract via Algebraic Innateness: Hierarchical, Interpretable, and Task-Free Clustering,” in Proceedings of the 2019 Information Theory and its Applications Workshop (ITA), San Diego, California, 10-15 February 2019.
 S. Basu and L. R. Varshney, “Succinct Source Coding of Deep Neural Networks,” in Proceedings of NeurIPS Compact Deep Neural Network Representation with Industrial Applications Workshop (CDNNRIA), Montreal, Canada, 7 December 2018.
 S. E. Brown, X. Ge, P. Rana, L. R. Varshney, and D. C. Miller, “Network Analysis as a Tool for Shaping Conservation and Development Policy: A Case Study of Timber Market Optimization in India,” in Proceedings of the Data for Good Exchange (D4GX), New York, New York, 16 September 2018.
 X. Ge, J. Xiong, and L. R. Varshney, “Computational Creativity for Valid Rube Goldberg Machines,” in Proceedings of the Ninth International Conference on Computational Creativity (ICCC), Salamanca, Spain, 25-29 June 2018.
 D. Bhattacharjya, D. Subramanian, and L. R. Varshney, “Generalization across Contexts in Unsupervised Computational Creativity,” in Proceedings of the Ninth International Conference on Computational Creativity (ICCC), Salamanca, Spain, 25-29 June 2018.
 R. K. Raman and L. R. Varshney, “Dynamic Distributed Storage for Blockchains,” in Proceedings of the 2018 IEEE International Symposium on Information Theory (ISIT), Vail, Colorado, 17-22 June 2018.
 D. Seo, A. Chatterjee, and L. R. Varshney, “On Multiuser Systems with Queue-Length Dependent Service Quality,” in Proceedings of the 2018 IEEE International Symposium on Information Theory (ISIT), Vail, Colorado, 17-22 June 2018.
 Y. Kim, M. Kang, L. R. Varshney, and N. R. Shanbhag, “SRAM Bit-line Swings Optimization using Generalized Waterfilling,” in Proceedings of the 2018 IEEE International Symposium on Information Theory (ISIT), Vail, Colorado, 17-22 June 2018.
 T.-Y. Wu, A. Tandon, L. R. Varshney, and M. Motani, “Skip Sliding Window Codes,” in Proceedings of the 2018 IEEE International Symposium on Information Theory (ISIT), Vail, Colorado, 17-22 June 2018.
 R. K. Raman and S. Pattabiraman, “Selfish Learning: Leveraging the Greed in Social Learning,” in Proceedings of the 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Calgary, Canada, 15-20 April 2018.
 D. Seo, R. K. Raman, and L. R. Varshney, “Probability Reweighting in Social Learning: Optimality and Suboptimality,” in Proceedings of the 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Calgary, Canada, 15-20 April 2018.
 D. Somaya and L. R. Varshney, “Embodiment, Anthropomorphism, and Intellectual Property Rights for AI Creations,” in Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society, New Orleans, Louisiana, 2-3 February 2018.
 H. Yu, T. Li, and L. R. Varshney, “Probabilistic Rule Realization and Selection,” in Proceedings of the Thirtieth Annual Conference on Neural Information Processing Systems (NIPS), Long Beach, California, 4-9 December 2017.
 D. G. Dobakhshari, L. R. Varshney, and V. Gupta, “A Game-Theoretic Approach to a Task Delegation Problem,” in Conference Record of the Fifty-First Asilomar Conference on Signals, Systems and Computers, Pacific Grove, California, 29 October – 1 November 2017.
 B. S. Newell and L. R. Varshney, “The First Cohort in a New Innovation, Leadership, and Engineering Entrepreneurship B. S. Degree Program,” in Proceedings of the 2017 IEEE Frontiers in Education Conference (FIE), Indianapolis, Indiana, 18-21 October 2017.
 T.-Y. Wu, L. R. Varshney, and V. Y. F. Tan, “Communication over a Channel that Wears Out,” in Proceedings of the IEEE International Symposium on Information Theory (ISIT), Aachen, Germany, 25-30 June 2017.
 A. Chatterjee and L. R. Varshney, “Towards Optimal Quantization of Neural Networks,” in Proceedings of the IEEE International Symposium on Information Theory (ISIT), Aachen, Germany, 25-30 June 2017.
 R. K. Raman and L. R. Varshney, “Universal Joint Image Clustering and Registration using Partition Information,” in Proceedings of the IEEE International Symposium on Information Theory (ISIT), Aachen, Germany, 25-30 June 2017.
 R. K. Raman and L. R. Varshney, “Budget-Optimal Clustering via Crowdsourcing,” in Proceedings of the IEEE International Symposium on Information Theory (ISIT), Aachen, Germany, 25-30 June 2017.
 A. Chaaban, L. R. Varshney, and M.-S. Alouini, “The Capacity of Injective Semi-Deterministic Two-Way Channels,” in Proceedings of the IEEE International Symposium on Information Theory (ISIT), Aachen, Germany, 25-30 June 2017.
 M. Amencherla and L. R. Varshney, “Color-Based Visual Sentiment for Social Communication,” in Proceedings of the 15th Canadian Workshop on Information Theory, Quebec City, Canada, 11-14 June 2017.
 H. Yu and L. R. Varshney, “Towards Deep Interpretability (MUS-ROVER II): Learning Hierarchical Representations of Tonal Music,” in Proceedings of the 5th International Conference on Learning Representations (ICLR), Toulon, France, 24-26 April 2017.
 S. Basu and L. R. Varshney, “Universal Source Coding of Deep Neural Networks,” in Proceedings of the IEEE Data Compression Conference, Snowbird, Utah, 4-7 April 2017.
 A. Chatterjee and L. R. Varshney, “Energy-Reliability Limits in Nanoscale Neural Networks,” in Proceedings of the Conference on Information Sciences and Systems (CISS), Baltimore, Maryland, 22-24 March 2017.
 W. Chen, M. Hasegawa-Johnson, N. F. Chen, P. Jyothi, and L. R. Varshney, “Mismatched Crowdsourcing with Clustering-Based Phonetic Projection for Low-Resourced ASR,” in Proceedings of the 26th International Conference on Computational Linguistics Workshops (COLING 2016), Osaka, Japan, 11 December 2016.
 J. Feng, W. P. Tay, and L. R. Varshney, “Estimating the Number of Infection Sources in a Tree,” in Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP), Washington, D.C., 7-9 December 2016.
 M. A. Donmez, M. Raginsky, A. C. Singer, and L. R. Varshney, “Cost-Performance Tradeoffs in Unreliable Computation Architectures,” in Conference Record of the Fiftieth Asilomar Conference on Signals, Systems and Computers, Pacific Grove, California, 6-9 November 2016.
 A. Chatterjee, D. Seo, and L. R. Varshney, “Capacity of Systems with Queue-Length Dependent Service Quality,” in Proceedings of the International Symposium on Information Theory and Its Applications (ISITA), Monterey, California, 30 October – 2 November 2016.
 D. Seo and L. R. Varshney, “Information-Theoretic Limits of Algorithmic Noise Tolerance,” in Proceedings of the IEEE International Conference on Rebooting Computing (ICRC 2016), San Diego, California, 17-19 October 2016.
 L. Chang, A. Chatterjee, and L. R. Varshney, “LDPC Decoders with Missing Connections,” in Proceedings of the 2016 IEEE International Symposium on Information Theory (ISIT), Barcelona, Spain, 10-15 July 2016.
 A. Tandon, M. Motani, and L. R. Varshney, “Subblock Energy-Constrained Codes for Simultaneous Energy and Information Transfer,” in Proceedings of the 2016 IEEE International Symposium on Information Theory (ISIT), Barcelona, Spain, 10-15 July 2016.
 H. Yu, L. R. Varshney, G. E. Garnett, and R. Kumar, “MUS-ROVER: A Self-Learning System for Musical Compositional Rules,” in Proceedings of the 4th International Workshop on Musical Metacreation (MUME 2016), Paris, France, 27 June 2016.
 H. Yu, L. R. Varshney, G. E. Garnett, and R. Kumar, “Learning Interpretable Musical Compositional Rules and Traces,” in 2016 ICML Workshop on Human Interpretability in Machine Learning (WHI 2016), New York, New York, 23 June 2016.
 C.-S. Yang and L. R. Varshney, “Self-Sustainable OFDM Transmissions with Smooth Energy Delivery,” in Proceedings of the 5th International Symposium on Next-Generation Electronics (ISNE 2016), Hsinchu, Taiwan, 3-6 May 2016.
 A. Chatterjee, M. Borokhovich, L. R. Varshney, and S. Vishwanath, “Efficient and Flexible Crowdsourcing of Specialized Tasks with Precedence Constraints,” in Proceedings of the 2016 IEEE Conference on Computer Communications (INFOCOM), San Francisco, California, 10-15 April 2016.
 L. R. Varshney, “Bottleneck Capacity of Random Graphs for Connectomics,” in Proceedings of the 2016 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Shanghai, China, 20-25 March 2016.
 Song Jianhan, V. W. I. Phua, and L. R. Varshney, “Distributed Estimation via Paid Crowd Work,” in Proceedings of the 2016 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Shanghai, China, 20-25 March 2016.
 L. R. Varshney and K. R. Varshney, “Fidelity Loss in Distribution-Preserving Anonymization and Histogram Equalization,” in Proceedings of the 50th Annual Conference on Information Sciences and Systems (CISS), Princeton, New Jersey, 16-18 March 2016.
 M. Borokhovich, A. Chatterjee, J. Rogers, L. R. Varshney, and S. Vishwanath, “Improving Impact Sourcing via Efficient Global Service Delivery,” in Proceedings of the Data for Good Exchange (D4GX), New York, New York, 28 September 2015.
 A. Vempaty, L. R. Varshney, G. J. Koop, A. H. Criss, and P. K. Varshney, “Decision Fusion by People: Experiments, Models, and Sociotechnical System Design,” in Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP), Orlando, Florida, 14-16 December 2015.
 L. R. Varshney, “Toward Limits of Constructing Reliable Memories from Unreliable Components,” in Proceedings of the IEEE Information Theory Workshop (ITW), Jeju Island, Korea, 11-15 October 2015.
 M. Karzand and L. R. Varshney, “Communication Strategies for Low Latency Trading,” in Proceedings of the 2015 IEEE International Symposium on Information Theory (ISIT), Hong Kong, 14-19 June 2015.
 A. Tandon, M. Motani, and L. R. Varshney, “Real-time Simultaneous Energy and Information Transfer,” in Proceedings of the 2015 IEEE International Symposium on Information Theory (ISIT), Hong Kong, 14-19 June 2015.
 A. Vempaty and L. R. Varshney, “CEO Problem for Belief Sharing,” in Proceedings of the IEEE Information Theory Workshop (ITW), Jerusalem, 26 April – 1 May, 2015.
 A. Chatterjee, L. R. Varshney, and S. Vishwanath, “Work Capacity of Freelance Markets: Fundamental Limits and Decentralized Schemes,” in Proceedings of the 2015 IEEE Conference on Computer Communications (INFOCOM), Hong Kong, 26 April – 1 May, 2015.
 A. Tandon, M. Motani, and L. R. Varshney, “Constant Subblock Composition Codes for Simultaneous Energy and Information Transfer,” in Proceedings of the IEEE SECON 2014 Workshop on Energy Harvesting Communications, Singapore, 30 June 2014.
 K. R. Varshney and L. R. Varshney, “Active Odor Cancellation,” in Proceedings of the 2014 IEEE Statistical Signal Processing Workshop (SSP), Jupiters, Gold Coast, Australia, 29 June – 2 July 2014.
 K. R. Varshney and L. R. Varshney, “Food Steganography with Olfactory White,” in Proceedings of the 2014 IEEE Statistical Signal Processing Workshop (SSP), Jupiters, Gold Coast, Australia, 29 June – 2 July 2014.
 A. Sharma, K. Jagannathan, and L. R. Varshney, “Information Overload and Human Priority Queuing,” in Proceedings of the 2014 IEEE International Symposium on Information Theory (ISIT), Honolulu, Hawaii, 29 June – 4 July 2014.
 A. Jagmohan, Y. Li, N. Shao, A. Sheopuri, D. Wang, L. R. Varshney, and P. Huang, “Exploring Application Domains for Computational Creativity,” in Proceedings of the 5th International Conference on Computational Creativity (ICCC), Ljublijana, Slovenia, 10-13 June 2014.
 L. R. Varshney, “Engineering for Problems of Excess,” in Proceedings of the 2014 IEEE International Symposium on Ethics in Engineering, Science, and Technology, Chicago, Illinois, 23-24 May 2014.
 F. Pinel and L. R. Varshney, “Computational Creativity for Culinary Recipes,” in Proceedings of the ACM CHI Conference on Human Factors in Computing Systems, Toronto, Canada, 26 April – 1 May 2014.
 L. R. Varshney and K. C. Ratakonda, “An Information-Theoretic View of Cloud Workloads,” in Proceedings of the IEEE International Conference on Cloud Engineering (IC2E 2014), Boston, Massachusetts, 10-14 March 2014.
 K. R. Varshney, L. R. Varshney, J. Wang, and D. Meyers, “Flavor Pairing in Medieval European Cuisine: A Study in Cooking with Dirty Data,” in Proceedings of the International Joint Conference on Artificial Intelligence Workshops, Beijing, China, 3 August 2013.
 L. R. Varshney, F. Pinel, K. R. Varshney, A. Schörgendorfer, and Y.-M. Chee, “Cognition as a Part of Computational Creativity,” in Proceedings of the 12th IEEE International Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC), New York, New York, 16-18 July 2013.
 L. R. Varshney, “To Surprise and Inform,” in Proceedings of the 2013 IEEE International Symposium on Information Theory (ISIT), Istanbul, Turkey, 7-12 July 2013.
 L. R. Varshney, “Two Way Communication over Exponential Family Type Channels,” in Proceedings of the 2013 IEEE International Symposium on Information Theory (ISIT), Istanbul, Turkey, 7-12 July 2013.
 A. Vempaty, L. R. Varshney, and P. K. Varshney, “Reliable Classification by Unreliable Crowds,” in Proceedings of the 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, Canada, 26-31 May 2013.
 A. Mani, L. R. Varshney, and A. Pentland, “Quantization Games on Networks,” in Proceedings of the IEEE Data Compression Conference (DCC), Snowbird, Utah, 20-22 March 2013.
 S. Mehta, R. Pimplikar, A. Singh, L. R. Varshney, and K. Visweswariah, “Efficient Multifaceted Screening of Job Applicants,” in Proceedings of the 16th International Conference on Extending Database Technology (EDBT), Genoa, Italy, 18-22 March 2013.
 R. Vaculin, Y.-M. Chee, D. V. Oppenheim, and L. R. Varshney, “Work as a Service Meta-model and Protocol for Adjustable Visibility, Coordination, and Control,” in Proceedings of the 2012 SRII Global Conference, San Jose, California, 24-27 July 2012.
 L. Limonad, L. R. Varshney, D. V. Oppenheim, E. Fein, P. Soffer, Y. Wand, M. Gavish, and A. Anaby-Tavor, “The WaaSABE Model: Marrying WaaS and Business-Entities to Support Cross-Enterprise Collaboration,” in Proceedings of the 2012 SRII Global Conference, San Jose, California, 24-27 July 2012.
 D. V. Oppenheim, Y.-M. Chee, and L. R. Varshney, “Allegro: A Metrics Framework for Globally Distributed Service Delivery,” in Proceedings of the 2012 SRII Global Conference, San Jose, California, 24-27 July 2012.
 G. V. Ranade and L. R. Varshney, “To Crowdsource or not to Crowdsource?,” in Proceedings of the 4th Human Computation Workshop (HCOMP), Toronto, Canada, 23 July 2012.
 L. R. Varshney, “On Energy/Information Cross-Layer Architectures,” in Proceedings of the 2012 IEEE International Symposium on Information Theory (ISIT), Cambridge, Massachusetts, 1-6 July 2012.
 L. R. Varshney, “Toward a Comparative Cognitive History: Archimedes and D. H. J. Polymath,” in Proceedings of Collective Intelligence 2012, Cambridge, Massachusetts, 18-20 March 2012.
 J. B. Rhim, L. R. Varshney, and V. K. Goyal, “Distributed Decision Making by Categorically-Thinking Agents,” in Proceedings of the NIPS 2011 Workshop on Decision Making with Multiple Imperfect Decision Makers, Sierra Nevada, Spain, 16 December 2011.
 A. K. Fletcher, S. Rangan, L. R. Varshney, and A. Bhargava, “Neural Reconstruction with Approximate Message Passing (NeuRAMP),” in Proceedings of the Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS), Granada, Spain, 13-15 December 2011.
 D. V. Oppenheim, L. R. Varshney, and Y.-M. Chee, “Work as a Service,” in Proceedings of the Ninth International Conference on Service Oriented Computing (ICSOC), Paphos, Cyprus, 5-8 December 2011.
 L. R. Varshney and D. Shah, “Informational Limits of Neural Circuits,” in Proceedings of the Forty-Ninth Annual Allerton Conference on Communication, Control, and Computing, Monticello, Illinois, 28-30 September 2011.
 J. Kusuma, L. R. Varshney, and V. K. Goyal, “Malleable Coding with Fixed Segment Reuse,” in Proceedings of the 2011 IEEE International Symposium on Information Theory (ISIT), St. Petersburg, Russia, 31 July – 5 August 2011.
 K. R. Varshney and L. R. Varshney, “Multilevel Minimax Hypothesis Testing,” in Proceedings of the IEEE International Workshop on Statistical Signal Processing (SSP), Nice, France, 28-30 June 2011.
 L. R. Varshney and D. V. Oppenheim, “Coordinating Global Service Delivery in the Presence of Uncertainty,” in Proceedings of the 12th International Research Symposium on Service Excellence in Management (QUIS12), Ithaca, New York, 2-5 June 2011.
 J. B. Rhim, L. R. Varshney, and V. K. Goyal, “Collaboration in Distributed Hypothesis Testing with Quantized Prior Probabilities,” in Proceedings of the IEEE Data Compression Conference (DCC), Snowbird, Utah, 29-31 March 2011.
 J. B. Rhim, L. R. Varshney, and V. K. Goyal, “Conflict in Distributed Hypothesis Testing with Quantized Prior Probabilities,” in Proceedings of the IEEE Data Compression Conference (DCC), Snowbird, Utah, 29-31 March 2011.
 L. Srinivasan, L. R. Varshney, and J. Kusuma, “Acquisition of Action Potentials with Ultra-Low Sampling Rates,” in Proceedings of the 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Buenos Aires, Argentina, 31 August – 4 September 2010.
 L. R. Varshney, “Distributed Inference Networks with Costly Wires,” in Proceedings of the 2010 American Control Conference (ACC), Baltimore, Maryland, 30 June – 2 July 2010.
 H. Q. Nguyen, V. K. Goyal, and L. R. Varshney, “Frame Permutation Quantization,” in Proceedings of the Forty-Fourth Annual Conference on Information Sciences and Systems (CISS), Princeton, New Jersey, 17-19 March 2010.
 L. R. Varshney, S. K. Mitter, and V. K. Goyal, “Channels That Die,” in Proceedings of the Forty-Seventh Annual Allerton Conference on Communication, Control, and Computing, Monticello, Illinois, 30 September ? 2 October 2009.
 L. R. Varshney, J. Kusuma, and V. K. Goyal, “Malleable Coding with Edit-Distance Cost,” in Proceedings of the 2009 IEEE International Symposium on Information Theory (ISIT), Seoul, Korea, 28 June – 3 July 2009.
 H. Q. Nguyen, V. K. Goyal, and L. R. Varshney, “On Concentric Spherical Codes and Permutation Codes With Multiple Initial Codewords,” in Proceedings of the 2009 IEEE International Symposium on Information Theory (ISIT), Seoul, Korea, 28 June – 3 July 2009.
 L. R. Varshney, “Transporting Information and Energy Simultaneously,” in Proceedings of the 2008 IEEE International Symposium on Information Theory (ISIT), Toronto, Canada, 6-11 July 2008.
 K. R. Varshney and L. R. Varshney, “Minimum Mean Bayes Risk Error Quantization of Prior Probabilities,” in Proceedings of the 2008 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Las Vegas, Nevada, 30 March – 4 April 2008.
 V. Misra, V. K. Goyal, and L. R. Varshney, “High-Resolution Functional Quantization,” in Proceedings of the IEEE Data Compression Conference (DCC), Snowbird, Utah, 25-27 March 2008.
 L. R. Varshney, “Performance of LDPC Codes Under Noisy Message-Passing Decoding,” in Proceedings of the 2007 IEEE Information Theory Workshop (ITW), Lake Tahoe, California, 2-6 September 2007.
 S. Basu and L. R. Varshney, “Universal and Succinct Source Coding of Deep Neural Networks,” presented at Stanford Compression Workshop 2019, Palo Alto, California, 15 February 2019.
 T.-Y. Wu, A. Tandon, L. R. Varshney, and M. Motani, “Multicasting Energy and Information Simultaneously,” presented at 2018 IEEE Information Theory Workshop, Guangzhou, China, 25-29 November 2018.
 H. Ito, T. Nishida, L. R. Varshney, and Y. Ishikawa, “Weak Ties in Job Change: Evidence from Business Card Exchange in Japan,” presented at 2018 International Conference on Computational Social Science, Evanston, Illinois, 13-15 July 2018.
 M. Kazama, M. Sugimoto, C. Hosokawa, K. Matsushima, L. R. Varshney, and Y. Ishikawa, “A Novel System for Transformation of Regional Cuisine Style,” presented at 2018 International Conference on Computational Social Science, Evanston, Illinois, 13-15 July 2018.
 H. Ito, T. Nishida, L. R. Varshney, and Y. Ishikawa, “Weak Ties in Job Change: Evidence from Business Card Exchange in Japan,” presented at NetSci: International School and Conference on Network Science, Paris, France, 11-15 June 2018.
 L. R. Varshney, L. Marla, and D. Shah, “Computing Information-Theoretic Limits on Behavioral Speed in C. elegans and Ciona intestinalis (L.),” presented at Analysis and Interpretation of Connectomes, Janelia Research Campus, Ashburn, Virginia, 20-23 May 2018.
 N. Kshetry and L. R. Varshney, “Optimal Wastewater Management Using Advanced Analytics,” presented at 2018 Illinois Wastewater Professionals Conference, Springfield, 16-18 April 2018.
 L. R. Varshney and K. R. Varshney, “Decision Making With Quantized Priors Leads to Discrimination,” presented at Illinois Summit on Diversity in Psychological Science, Champaign, 26-28 March 2018.
 T.-Y. Wu, A. Tandon, L. R. Varshney, and M. Motani, “On Skip Sliding Window Codes,” presented at 2018 Information Theory and its Applications Workshop (ITA), San Diego, California, 11-16 February 2018.
 A. Chatterjee and L. R. Varshney, “Optimal Energy Allocation in Reliable Neural Sensory Processing,” presented at Inaugural Conference on Cognitive Computational Neuroscience (CCN), New York, New York, 6-8 September 2017.
 A. Vempaty, L. R. Varshney, and P. K. Varshney, “A Coupon-Collector Model of Machine-Aided Discovery,” presented at KDD Workshop on Data-Driven Discovery, Halifax, Canada, 14 August 2017.
 X. Ge, J. Xiong, and L. R. Varshney, “CELA: Creating Experiential Learning Activities,” presented at International Conference on Computational Creativity, Atlanta, Georgia, 19-23 June 2017.
 A. D. Patil, N. R. Shanbhag, L. R. Varshney, E. Pop, H.-S. P. Wong, S. Mitra, J. Rabaey, J. Weldon, L. Pileggi, S. Manipatruni, D. Nikonov, and I. A. Young, “A Systems Approach to Computing in Beyond CMOS Fabrics,” presented at Design Automation Conference (DAC 2017), Austin, Texas, 18-22 June 2017.
 A. Sarathy, J.-P. Leburton, and L. R. Varshney, “On Nanopore Sequencing of the Epigenome in the Presence of Noise,” presented at 15th Canadian Workshop on Information Theory, Quebec City, Canada, 11-14 June 2017.
 M. Jere, R. K. Raman, and L. R. Varshney, “The Eurekometric Connectome: Discovering Unexplored Areas of Neuroscience Research,” presented at NetSci: International School and Conference on Network Science, Indianapolis, Indiana, 19-23 June 2017.
 D. Bhattacharjya and L. R. Varshney, “Multiattribute Preference Models for Computational Creativity,” presented at INFORMS Annual Meeting, Nashville, Tennessee, 13-16 November 2016.
 A. Chatterjee and L. R. Varshney, “The Role of Information Theory and Queuing Theory in Human Computation Systems,” presented at HCOMP 2016 Workshop on Mathematical Foundations of Human Computation, 3 November 2016.
 N. Kshetry and L. R. Varshney, “Foodsheds in Virtual Water Flow Networks: A Spectral Graph Theory Approach,” presented at Food and Data Workshop: Interoperability through the Food Pipeline, 12-13 September 2016.
 L. Chang and L. R. Varshney, “World Culture of Food Texture Networks,” presented at Food and Data Workshop: Interoperability through the Food Pipeline, 12-13 September 2016.
 A. J. Gross, D. Murthy, and L. R. Varshney, “Pace of Life in Cities and the Emergence of Town Tweeters,” presented at 66th Annual Conference of the International Communication Association (ICA), Fukuoka, Japan, 9-13 June 2016.
 Z. He and L. R. Varshney, “Inducement Prizes in Data Science: Specialization, Community, and National Performance,” presented at International Symposium on Science of Science, Washington, DC, 22-23 March 2016.
 A. Tandon, M. Motani, and L. R. Varshney, “Coding for Constrained Communication Systems,” presented at Information Theory and its Applications Workshop (ITA), San Diego, California, 31 January – 5 February 2016.
 I. Lobel, E. Sadler, and L. R. Varshney, “Customer Referral Incentives and Social Media,” presented at 16th ACM Conference on Economics and Computation (EC 2015), Portland, Oregon, 15-19 June 2015.
 A. J. Gross, D. Murthy, and L. R. Varshney, “Pace of Life in Cities and the Emergence of Town Tweeters,” presented at International Conference on Computational Social Science (IC2S2), Helsinki, Finland, 8-11 June 2015.
 L. R. Varshney, “Block Diagrams in Information Theory: Drawing Things Closed,” presented at SHOT Special Interest Group on Computers, Information, and Society Workshop 2014, Dearborn, Michigan, 9 November 2014.
 E. Sadler, I. Lobel, and L. R. Varshney, “Customer Referral Incentives and Social Media,” presented at INFORMS Annual Meeting, San Francisco, California, 9-12 November 2014.
 N. Shao, K. R. Varshney, L. R. Varshney, and F. Pinel, “Personalization of Product Novelty Assessment via Bayesian Surprise,” presented at 2014 Joint Statistical Meetings (JSM), Boston, Massachusetts, 2-7 August 2014.
 A. Vempaty, L. R. Varshney, and P. K. Varshney, “Error-Correcting Codes allow Privacy and Quality Assurance in Crowdsourcing,” presented at CrowdConf 2013, San Francisco, California, 22 October 2013.
 F. Pinel, L. R. Varshney, and L. Tounsi, “Information in Networks as Inspiration: Value for Culinary Computational Creativity,” presented at Workshop on Information in Networks (WIN), New York, New York, 4-5 October 2013.
 A. Mani, L. R. Varshney, and A. Pentland, “Focal Vocabularies vs. Shared Vocabularies in Social Networks: Balancing Individual Concerns and Social Exchange,” presented at Interdisciplinary Workshop on Information and Decision in Social Networks (WIDS), Cambridge, Massachusetts, 8-9 November 2012.
 L. R. Varshney, “Directed Acyclic Motifs for Conversation Analytics,” presented at Interdisciplinary Workshop on Information and Decision in Social Networks (WIDS), Cambridge, Massachusetts, 8-9 November 2012.
 D. Bhattacharjya, L. R. Varshney, F. Pinel, and Y.-M. Chee, “Computational Creativity: A Two-attribute Search Technique,” presented at INFORMS Annual Meeting, Phoenix, Arizona, 14-17 October 2012.
 A. Wein, J. Kusuma, L. R. Varshney, A. Richardson, and L. Srinivasan, “A Path towards Robust Sub-Nyquist Spike Acquisition for Neuroscience Applications,” presented at 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, San Diego, California, 28 August – 1 September 2012.
 R. Williams, W. M. Gifford, and L. R. Varshney, “Using Statistical Algorithms to Predict Abuse against Children and Prioritize Cases,” presented at 18th National Conference on Child Abuse and Neglect, Washington, DC, 16-20 April 2012.
 A. K. Fletcher, S. Rangan, L. R. Varshney, and A. Bhargava, “Neural Connectivity and Receptive Field Estimation via Hybrid Message Passing,” presented at 2012 Information Theory and its Applications Workshop (ITA), San Diego, California, 5-10 February 2012.
 L. Srinivasan, L. R. Varshney, and J. Kusuma, “Spike Acquisition at Ultra-Low Sampling Rates for Neuroprosthetic Devices,” presented at Neuroscience 2010: Society for Neuroscience 40th Annual Meeting, Program No. 20.13, San Diego, California, 13-17 November 2010.
 L. R. Varshney, “Communication with Unreliable Receivers,” presented at 2010 Information Theory and its Applications Workshop (ITA), La Jolla, California, 1-5 February 2010.
 L. R. Varshney, P. J. Sjöström, and D. B. Chklovskii, “Optimal Information Storage in Noisy Synapses,” presented at 2006 Cold Spring Harbor Laboratory Meeting on Channels, Receptors & Synapses, Cold Spring Harbor, New York, 18-22 April 2006.
 D. B. Chklovskii and L. R. Varshney, “Noisy Synapses and Information Storage,” presented at Neuroscience 2005: Society for Neuroscience 35th Annual Meeting, Program No. 965.17, Washington, D.C., 12-16 November 2005.
 L. R. Varshney and D. B. Chklovskii, “Reliability and Information Storage Capacity of Synapses,” presented at 2005 Cold Spring Harbor Laboratory Meeting on Learning & Memory, Cold Spring Harbor, New York, 20-24 April 2005.
 L. R. Varshney and S. D. Servetto, “A Distributed Transmitter for the Sensor Reachback Problem based on Radar Signals,” presented at NSF-RPI Workshop on Pervasive Computing and Networking, Troy, New York, 29-30 April 2004.
 L. R. Varshney, “Mathematization and Novel Systems,” in Glimpses of Systems Theory and Novel Applications, H. S. Sekhon, et al., Eds. Aligarh, India: Systems Society of India Punjab Chapter, 2005, pp. 144-148.
 X. Ge, “Computational Creativity Applications in Engineering,” M.S. thesis, University of Illinois at Urbana-Champaign, Urbana, IL, Dec. 2018.
 L. Chang, “Changing Edges in Graphical Model Algorithms,” M.S. thesis, University of Illinois at Urbana-Champaign, Urbana, IL, Dec. 2016.

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