hunoutl/paperlists huggingface dataset:
Title: An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations
Authors: Haoran Yang, Xiangyu Zhao, Yicong Li, Hongxu Chen, Guandong Xu
Affiliations: University of Queensland; University of Technology Sydney; City University of Hong Kong
Conference: nips 2023 (main track)
Keywords: graph contrastive learning;prompt tuning;recommendation system
Decision: Poster
Title: Minimax Risks and Optimal Procedures for Estimation under Functional Local Differential Privacy
Authors: Bonwoo Lee, Jeongyoun Ahn, Cheolwoo Park
Affiliations: Korea Advanced Institute of Science & Technology, Daejeon, 34141 South Korea
Conference: nips 2023 (main track)
Keywords: Data privacy;Functional local differential privacy;Gaussian mechanism;Minimax risks;Statistical utility
Decision: Poster
Title: Towards Higher Ranks via Adversarial Weight Pruning
Authors: Yuchuan Tian, Hanting Chen, Tianyu Guo, Chao Xu, Yunhe Wang
Affiliations: National Key Lab of General AI, School of Intelligence Science and Technology, Peking University.; Huawei Noah’s Ark Lab.
Conference: nips 2023 (main track)
Keywords: Weight Pruning;Matrix Rank
Decision: Poster
Title: Posterior Contraction Rates for Matérn Gaussian Processes on Riemannian Manifolds
Authors: Paul Rosa, Slava Borovitskiy, Alexander Terenin, Judith Rousseau
Affiliations: ETH Zürich; University of Cambridge and Cornell University; University of Oxford
Conference: nips 2023 (main track)
Keywords: Gaussian processes;posterior contraction;manifolds;kernels
Decision: Spotlight
Title: Expert load matters: operating networks at high accuracy and low manual effort
Authors: Sara Sangalli, Ertunc Erdil, Ender Konukoglu
Affiliations: Computer Vision Lab, ETH Zürich; The LOOP Zürich – Medical Research Center, Zürich, Switzerland; Computer Vision Lab, ETH Zürich
Conference: nips 2023 (main track)
Keywords: human-ai collaboration system;optimization
Decision: Poster
Title: Beyond NTK with Vanilla Gradient Descent: A Mean-Field Analysis of Neural Networks with Polynomial Width, Samples, and Time
Authors: Arvind Mahankali, Haochen Zhang, Kefan Dong, Margalit Glasgow, Tengyu Ma
Affiliations: Stanford University
Conference: nips 2023 (main track)
Keywords: Nonconvex Optimization;Mean-Field Analysis;Beyond NTK;Deep Learning Theory
Decision: Poster
Title: PTQD: Accurate Post-Training Quantization for Diffusion Models
Authors: Yefei He, Luping Liu, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang
Affiliations: Zhejiang University, China; ZIP Lab, Monash University, Australia
Conference: nips 2023 (main track)
Keywords: Diffusion models;Post-training quantization;Mixed precision
Decision: Poster
Title: Quantum Bayesian Optimization
Authors: Zhongxiang Dai, Zhongxiang Dai, Gregory Kang Ruey Lau, Arun Verma, YAO SHU, Bryan Kian Hsiang Low, Patrick Jaillet
Affiliations: Department of Computer Science, National University of Singapore; CNRS@CREATE, 1 Create Way, #08-01 Create Tower, Singapore 138602; Department of Computer Science, National University of Singapore; Department of Electrical Engineering and Computer Science, MIT
Conference: nips 2023 (main track)
Keywords: quantum bandits;kernelized bandits
Decision: Poster
Title: MADLAD-400: A Multilingual And Document-Level Large Audited Dataset
Authors: Sneha Kudugunta, Isaac Caswell, Biao Zhang, Xavier Garcia, Derrick Xin, Aditya Kusupati, Romi Stella, Ankur Bapna, Orhan Firat
Affiliations: Google DeepMind; Google Research
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: CommonCrawl;Low Resource Languages;Underrepresented Languages;Multilinguality;LLMs;Large Language Models;Machine Translation
Decision: Poster
Title: VisIT-Bench: A Dynamic Benchmark for Evaluating Instruction-Following Vision-and-Language Models
Authors: Yonatan Bitton, Hritik Bansal, Jack Hessel, Rulin Shao, Wanrong Zhu, Anas Awadalla, Josh Gardner, Rohan Taori, Ludwig Schmidt
Affiliations: Hebrew University, Google Research; University of Washington; Allen Institute for AI, University of Washington, LAION; UCLA; Allen Institute for AI; Stanford; UCSB
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Vision-language models;Instruction-following;Benchmark;Multimodal chatbots;ELO rating system;Automatic evaluation metric;Dataset collection
Decision: Poster
Title: Model Shapley: Equitable Model Valuation with Black-box Access
Authors: Xinyi Xu, Thanh Lam, Chuan Sheng Foo, Bryan Kian Hsiang Low
Affiliations: Dept. of Computer Science, National University of Singapore, Republic of Singapore; Inst. for Infocomm Research; Centre for Frontier AI Research, A∗STAR, Republic of Singapore
Conference: nips 2023 (main track)
Keywords: Model Valuation;Dirichlet Abstraction;Shapley Value
Decision: Poster
Title: A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point Process
Authors: Jiayu Chen, Vaneet Aggarwal, Tian Lan
Affiliations: Purdue University, West Lafayette, IN 47907; The George Washington University, Washington, DC 20052
Conference: nips 2023 (main track)
Keywords: Reinforcement Learning;Unsupervised Skill Discovery;Determinantal Point Process;Options
Decision: Poster
Title: $\textbf{A}^2\textbf{CiD}^2$: Accelerating Asynchronous Communication in Decentralized Deep Learning
Authors: Adel Nabli, Eugene Belilovsky, Edouard Oyallon
Affiliations: Sorbonne University, ISIR, CNRS; Concordia University, Mila; Sorbonne University, ISIR, CNRS; Concordia University, Mila
Conference: nips 2023 (main track)
Keywords: Decentralized Optimization for Deep Learning;Asynchronous Optimization;Distributed Training;Data-Parallel
Decision: Poster
Title: Inverse Reinforcement Learning with the Average Reward Criterion
Authors: Feiyang Wu, Jingyang Ke, Anqi Wu
Affiliations: School of Computational Science and Engineering, College of Computing, Georgia Institute of Technology, Atlanta, Georgia 30332
Conference: nips 2023 (main track)
Keywords: Machine Learning;Reinforcement Learning;Inverse Reinforcement Learning;Markov Decision Process;stochastic optimization;complexity analysis
Decision: Poster
Title: ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling
Authors: Yuqi Chen, Kan Ren, Yansen Wang, Yuchen Fang, Weiwei Sun, Dongsheng Li
Affiliations: Microsoft Research Asia; School of Computer Science & Shanghai Key Laboratory of Data Science, Fudan University; Microsoft Research Asia, Shanghai Jiao Tong University
Conference: nips 2023 (main track)
Keywords: Irregular Time Series Modeling;Transformer;Neural Ordinary Differential Equation
Decision: Poster
Title: Which Models have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness
Authors: Suraj Srinivas, Sebastian Bordt, Himabindu Lakkaraju
Affiliations: Harvard University, Cambridge, MA, hlakkaraju@hbs.edu; University of Tübingen, Tübingen AI Center, Tübingen, Germany, sebastian.bordt@uni-tuebingen.de; Harvard University, Cambridge, MA, ssrinivas@seas.harvard.edu
Conference: nips 2023 (main track)
Keywords: robustness;generative models;perceptually aligned gradients;bayes optimality;manifold hypothesis
Decision: Spotlight
Title: Harnessing Hard Mixed Samples with Decoupled Regularizer
Authors: Zicheng Liu, Siyuan Li, Ge Wang, Lirong Wu, Cheng Tan, Stan Z. Li
Affiliations: AI Lab, Research Center for Industries of the Future, Hangzhou, China; Westlake University; AI Lab, Research Center for Industries of the Future, Hangzhou, China; Zhejiang University
Conference: nips 2023 (main track)
Keywords: mixup;data augmentation;classification;data efficiency
Decision: Poster
Title: 3D-LLM: Injecting the 3D World into Large Language Models
Authors: Yining Hong, Haoyu Zhen, Peihao Chen, Shuhong Zheng, Yilun Du, Zhenfang Chen, Chuang Gan
Affiliations: University of Illinois Urbana-Champaign; University of California, Los Angeles; UMass Amherst and MIT-IBM Watson AI Lab; MIT-IBM Watson AI Lab; Shanghai Jiao Tong University; Massachusetts Institute of Technology; South China University of Technology
Conference: nips 2023 (main track)
Keywords: 3D Visual Reasoning;3D Large Language Model
Decision: Spotlight
Title: CELLE-2: Translating Proteins to Pictures and Back with a Bidirectional Text-to-Image Transformer
Authors: Emaad Khwaja, Yun Song, Aaron Agarunov, Bo Huang
Affiliations: Department of Statistics, UC Berkeley, CA 94720; Computer Science Division, UC Berkeley, CA 94720; Department of Pharmaceutical Chemistry, UCSF, San Francisco, CA 94143; Department of Biochemistry and Biophysics, UCSF, San Francisco, CA 94143; Chan Zuckerberg Biohub - San Francisco, San Francisco, CA 94158; Department of Pathology, Memorial Sloan Kettering Cancer Center, 10065; UC Berkeley - UCSF Joint Bioengineering Graduate Program
Conference: nips 2023 (main track)
Keywords: text-to-image;protein localization;protein engineering;transformers
Decision: Poster
Title: MoVie: Visual Model-Based Policy Adaptation for View Generalization
Authors: Sizhe Yang, Yanjie Ze, Yanjie Ze, Huazhe Xu
Affiliations: Tsinghua University, Shanghai AI Lab; Shanghai Qi Zhi Institute, University of Electronic Science and Technology of China; Shanghai Jiao Tong University
Conference: nips 2023 (main track)
Keywords: visual reinforcement learning;visual generalization
Decision: Poster
Title: ECG-QA: A Comprehensive Question Answering Dataset Combined With Electrocardiogram
Authors: Jungwoo Oh, Gyubok Lee, Seongsu Bae, Joon-myoung Kwon, Edward Choi
Affiliations: Medical AI Inc., Seoul; KAIST, Daejeon
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: healthcare;question answering;electrocardiogram;ECG;ECG QA
Decision: Poster
Title: Fixing the NTK: From Neural Network Linearizations to Exact Convex Programs
Authors: Rajat Vadiraj Dwaraknath, Tolga Ergen, Mert Pilanci
Affiliations: Stanford University; LG AI Research
Conference: nips 2023 (main track)
Keywords: neural tangent kernel;NTK;ReLU activations;neural networks;gated ReLU;convex optimization;kernel;multiple kernel learning;MKL;group lasso;iterative reweighting;group norm
Decision: Poster
Title: PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change
Authors: Karthik Valmeekam, Matthew Marquez, Alberto Olmo, Sarath Sreedharan, Subbarao Kambhampati
Affiliations: School of Computing & AI, Arizona State University, Tempe.; Department of Computer Science, Colorado State University, Fort Collins.
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Large Language Models;Planning
Decision: Poster
Title: Structured Prediction with Stronger Consistency Guarantees
Authors: Anqi Mao, Mehryar Mohri, Yutao Zhong
Affiliations: Courant Institute, New York, NY 10012; Google Research & CIMS, New York, NY 10011
Conference: nips 2023 (main track)
Keywords: structured prediction;consistency;learning theory;natural language processing
Decision: Poster
Title: GAN You See Me? Enhanced Data Reconstruction Attacks against Split Inference
Authors: Ziang Li, Mengda Yang, Yaxin Liu, Juan Wang, Hongxin Hu, Wenzhe Yi, Xiaoyang Xu
Affiliations: Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan University; Department of Computer Science and Engineering, University at Buffalo, SUNY
Conference: nips 2023 (main track)
Keywords: deep learning;split inference;data reconstruction attack
Decision: Poster
Title: Contrast, Attend and Diffuse to Decode High-Resolution Images from Brain Activities
Authors: Jingyuan Sun, Mingxiao Li, Zijiao Chen, Yunhao Zhang, Shaonan Wang, Marie-Francine Moens
Affiliations: KU Leuven; National University of Singapore; Chinese Academy of Science
Conference: nips 2023 (main track)
Keywords: Neural decoding;brain machine interface;mind reader;visual reconstruction;vision decoding
Decision: Poster
Title: Toolformer: Language Models Can Teach Themselves to Use Tools
Authors: Timo Schick, Jane Dwivedi-Yu, Roberto Dessi, Roberta Raileanu, Maria Lomeli, Eric Hambro, Luke Zettlemoyer, Nicola Cancedda, Thomas Scialom
Affiliations: †Universitat Pompeu Fabra; FAIR, Meta
Conference: nips 2023 (main track)
Keywords: Language Models;Zero-Shot Learning;Tool Use;APIs
Decision: Oral
Title: BiMatting: Efficient Video Matting via Binarization
Authors: Haotong Qin, Lei Ke, Xudong Ma, Martin Danelljan, Yu-Wing Tai, Chi-Keung Tang, Xianglong Liu, Fisher Yu
Affiliations: ETH Zürich; Dartmouth College; HKUST; Beihang University
Conference: nips 2023 (main track)
Keywords: Video Matting;Model Binarization;Deep Learning
Decision: Poster
Title: Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose Encoding
Authors: Zhejun Zhang, Alexander Liniger, Christos Sakaridis, Fisher Yu, Luc V Gool
Affiliations: CVL, ETH Zurich, CH; PSI, KU Leuven, BE; INSAIT, Un. Sofia, BU; Computer Vision Lab, ETH Zurich, Zurich, Switzerland
Conference: nips 2023 (main track)
Keywords: Motion Prediction;Autonomous Driving;Transformer
Decision: Poster
Title: Learning Trajectories are Generalization Indicators
Authors: Jingwen Fu, Zhizheng Zhang, Dacheng Yin, Yan Lu, Nanning Zheng
Affiliations: Microsoft Research Asia; University of Science and Technology of China; National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University
Conference: nips 2023 (main track)
Keywords: Generalization;Learning Trajectory
Decision: Poster
Title: Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking
Authors: Juanhui Li, Harry Shomer, Haitao Mao, Shenglai Zeng, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin
Affiliations: Snap Inc.; Michigan State University; Rensselaer Polytechnic Institute; Baidu Inc.
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Link Prediction;Graph Neural Networks;New Evaluation
Decision: Poster
Title: Your representations are in the network: composable and parallel adaptation for large scale models
Authors: Yonatan Dukler, Alessandro Achille, Hao Yang, Varsha Vivek, Luca Zancato, Benjamin Bowman, Avinash Ravichandran, Charless Fowlkes, Ashwin Swaminathan, Stefano Soatto
Affiliations: A WS AI Labs
Conference: nips 2023 (main track)
Keywords: Efficient learning;Compute-efficient deep learning;Deep Learning Theory;class-incremental-learning;downstream adaptation
Decision: Poster
Title: Bandit Social Learning under Myopic Behavior
Authors: Kiarash Banihashem, MohammadTaghi Hajiaghayi, Suho Shin, Aleksandrs Slivkins
Affiliations: University of Maryland, College Park; Microsoft Research NYC
Conference: nips 2023 (main track)
Keywords: multi-armed bandits;greedy algorithm;social learning;myopic behavior;learning failures;algorithmic game theory
Decision: Poster
Title: SEVA: Leveraging sketches to evaluate alignment between human and machine visual abstraction
Authors: Kushin Mukherjee, Holly Huey, Xuanchen Lu, Yael Vinker, Rio Aguina-Kang, Ariel Shamir, Judith Fan
Affiliations: University of Wisconsin-Madison; Stanford University; Tel-Aviv University; Reichman University; University of California, San Diego
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: sketch understanding;visual abstraction;vision;cognitive science
Decision: Poster
Title: Autodecoding Latent 3D Diffusion Models
Authors: Evangelos Ntavelis, Aliaksandr Siarohin, Kyle Olszewski, Chaoyang Wang, Luc V Gool, Sergey Tulyakov
Affiliations: Computer Vision Lab, ETH Zurich, Zürich, Switzerland; CI2CV Lab, Carnegie Mellon University, Pittsburgh, PA, USA; CVL, ETH Zurich, CH; PSI, KU Leuven, BE; INSAIT, Un. Sofia, BU; Creative Vision, Snap Inc., Santa Monica, CA, USA
Conference: nips 2023 (main track)
Keywords: 3D Generation;Diffusion Models
Decision: Poster
Title: Near-Optimal Bounds for Learning Gaussian Halfspaces with Random Classification Noise
Authors: Ilias Diakonikolas, Jelena Diakonikolas, Daniel Kane, Puqian Wang, Nikos Zarifis
Affiliations: University of California, San Diego; University of Wisconsin, Madison
Conference: nips 2023 (main track)
Keywords: PAC Learning;Random Classification Noise
Decision: Poster
Title: Evaluating Neuron Interpretation Methods of NLP Models
Authors: Yimin Fan, Fahim Dalvi, Nadir Durrani, Hassan Sajjad
Affiliations: Faculty of Computer Science, Dalhousie University, Canada; Qatar Computing Research Institute, HBKU, Qatar; The Chinese University of Hong Kong, Hong Kong, China
Conference: nips 2023 (main track)
Keywords: Neuron interpretation;NLP;Interpretability;Machine Learning
Decision: Poster
Title: Boosting Learning for LDPC Codes to Improve the Error-Floor Performance
Authors: Hee-Youl Kwak, Dae-Young Yun, Yongjune Kim, Sang-Hyo Kim, Jong-Seon No
Affiliations: POSTECH; University of Ulsan; Seoul National University; Sungkyunkwan University
Conference: nips 2023 (main track)
Keywords: Error-floor;Low-density parity-check codes;Boosting learning;Training shcedule;weight sharing;Neural decoders;Min-sum
Decision: Poster
Title: STEVE-1: A Generative Model for Text-to-Behavior in Minecraft
Authors: Shalev Lifshitz, Keiran Paster, Harris Chan, Jimmy Ba, Sheila McIlraith
Affiliations: Department of Computer Science, University of Toronto, Toronto, Canada. Vector Institute for Artificial Intelligence, Toronto, Canada.
Conference: nips 2023 (main track)
Keywords: minecraft;instruction following;foundation models;sequence models;reinforcement learning;sequential decision making;goal conditioned reinforcement learning;text conditioned reinforcement learning;transformers;deep learning
Decision: Spotlight
Title: GraphAdapter: Tuning Vision-Language Models With Dual Knowledge Graph
Authors: Xin Li, Dongze Lian, Zhihe Lu, Jiawang Bai, Zhibo Chen, Xinchao Wang
Affiliations: University of Science and Technology of China; National University of Singapore; Tsinghua University
Conference: nips 2023 (main track)
Keywords: Efficient transfer learning;vision-language model;adapter-style tuning
Decision: Poster
Title: Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object Detection
Authors: Cheng-Ju Ho, Chen-Hsuan Tai, Yen-Yu Lin, Ming-Hsuan Yang, Yi-Hsuan Tsai
Affiliations: National Yang Ming Chiao Tung University; Google; University of California at Merced
Conference: nips 2023 (main track)
Keywords: Semi-supervised learning;3D object detection;diffusion model
Decision: Poster
Title: Pareto Frontiers in Deep Feature Learning: Data, Compute, Width, and Luck
Authors: Benjamin Edelman, Surbhi Goel, Sham Kakade, Eran Malach, Cyril Zhang
Affiliations: Hebrew University of Jerusalem; Harvard University; Microsoft Research NYC; University of Pennsylvania
Conference: nips 2023 (main track)
Keywords: deep learning;feature learning;parity;grokking;lottery tickets;scaling
Decision: Spotlight
Title: Federated Learning with Client Subsampling, Data Heterogeneity, and Unbounded Smoothness: A New Algorithm and Lower Bounds
Authors: Michael Crawshaw, Yajie Bao, Mingrui Liu
Affiliations: Department of Computer Science, George Mason University, Fairfax, VA 22030, USA; School of Mathematical Sciences, Shanghai Jiao Tong University, Shanghai, China
Conference: nips 2023 (main track)
Keywords: federated learning;client subsampling;nonconvex optimization;relaxed smoothness;data heterogeneity;lower bound
Decision: Poster
Title: Uncovering Neural Scaling Laws in Molecular Representation Learning
Authors: Dingshuo Chen, Yanqiao Zhu, Jieyu Zhang, Yuanqi Du, Zhixun Li, Qiang Liu, Shu Wu, Liang Wang
Affiliations: The Paul G. Allen School of Computer Science and Engineering, University of Washington; Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences; Department of Computer Science, University of California, Los Angeles; Department of Computer Science, Cornell University; Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: molecular representation learning;neural scaling law;data-centric AI
Decision: Poster
Title: Diversifying Spatial-Temporal Perception for Video Domain Generalization
Authors: Kun-Yu Lin, Jia-Run Du, Yipeng Gao, Jiaming Zhou, Wei-Shi Zheng
Affiliations: School of Computer Science and Engineering, Sun Yat-sen University, China; School of Computer Science and Engineering, Sun Yat-sen University, China; Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, China
Conference: nips 2023 (main track)
Keywords: video understanding and analysis;video domain generalization
Decision: Poster
Title: Online Map Vectorization for Autonomous Driving: A Rasterization Perspective
Authors: Gongjie Zhang, Jiahao Lin, Shuang Wu, yilin song, Zhipeng Luo, Yang Xue, Shijian Lu, Zuoguan Wang
Affiliations: Black Sesame Technologies; Black Sesame Technologies, Nanyang Technological University, Singapore; Nanyang Technological University, Singapore
Conference: nips 2023 (main track)
Keywords: Online HD Map Construction;Map Vectorization;Autonomous Driving;Evaluation Metric;Rasterization;Differentiable Rasterization;Bird's-Eye-View Perception
Decision: Poster
Title: Integration-free Training for Spatio-temporal Multimodal Covariate Deep Kernel Point Processes
Authors: YIXUAN ZHANG, Quyu Kong, Feng Zhou
Affiliations: Alibaba Group; China-Austria Belt and Road Joint Laboratory on Artificial Intelligence and Advanced Manufacturing, Hangzhou Dianzi University; Center for Applied Statistics and School of Statistics, Renmin University of China
Conference: nips 2023 (main track)
Keywords: Spatio-temporal Point Processes;Deep Kernel;Covariate;Integration-free
Decision: Poster
Title: Text Promptable Surgical Instrument Segmentation with Vision-Language Models
Authors: Zijian Zhou, Oluwatosin Alabi, Meng Wei, Tom Vercauteren, Miaojing Shi
Affiliations: School of Biomedical Engineering & Imaging Sciences, King’s College London; College of Electronic and Information Engineering, Tongji University; Department of Informatics, King’s College London
Conference: nips 2023 (main track)
Keywords: Surgical Instrument Segmentation;Vision Language Models;Text Promptable Segmentation
Decision: Poster
Title: Compositional Policy Learning in Stochastic Control Systems with Formal Guarantees
Authors: Đorđe Žikelić, Đorđe Žikelić, Mathias Lechner, Abhinav Verma, Krishnendu Chatterjee, Thomas Henzinger
Affiliations: Massachusetts Institute of Technology, Cambridge, MA, USA; Institute of Science and Technology Austria (ISTA), Klosterneuburg, Austria; The Pennsylvania State University, University Park, PA, USA
Conference: nips 2023 (main track)
Keywords: Verification;Compositional learning
Decision: Poster
Title: A Unified Framework for Rank-based Loss Minimization
Authors: Rufeng Xiao, Yuze Ge, Rujun Jiang, Yifan Yan
Affiliations: School of Data Science, Fudan University
Conference: nips 2023 (main track)
Keywords: rank-based loss;ADMM;nonconvex nonsmooth optimization;conditional Value-at-Risk;human-aligned risk;ranked range loss
Decision: Poster
Title: Path Regularization: A Convexity and Sparsity Inducing Regularization for Parallel ReLU Networks
Authors: Tolga Ergen, Mert Pilanci
Affiliations: Stanford University; LG AI Research
Conference: nips 2023 (main track)
Keywords: Convex optimization;deep learning theory;path norm;group sparsity;polynomial-time training;ReLU networks;parallel architectures;global optimality;computational complexity
Decision: Poster
Title: Optimal Extragradient-Based Algorithms for Stochastic Variational Inequalities with Separable Structure
Authors: Angela Yuan, Chris Junchi Li, Gauthier Gidel, Michael Jordan, Quanquan Gu, Simon Du
Affiliations: Department of Electrical Engineering and Computer Sciences, University of California, Berkeley; DIRO, Université de Montréal and Mila; Department of Computer Science, University of California, Los Angeles; Paul G. Allen School of Computer Science and Engineering, University of Washington
Conference: nips 2023 (main track)
Keywords: Stochastic variational inequalities;convex-concave separable saddle-point optimization;extragradient-based algorithm;Nesterov's acceleration;scheduled restarting;scaling reduction
Decision: Poster