hunoutl/paperlists huggingface dataset:
Title: GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement
Authors: Martin Engelcke, Oiwi Parker Jones, Ingmar Posner
Affiliations: Applied AI Lab, University of Oxford, UK; Applied AI Lab, University of Oxford, UK; Now affiliated with Google DeepMind
Conference: nips 2021 (main track)
Keywords: Generative models;object-centric representations;variational inference
Decision: Poster
Title: The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning
Authors: Yujin Tang, David Ha
Affiliations: Google Brain
Conference: nips 2021 (main track)
Keywords: self-organization;attention;reinforcement learning;evolution strategies;zero-shot generalization;meta-learning;permutation invariance;multi-agent reinforcement learning
Decision: Spotlight
Title: Improved Coresets and Sublinear Algorithms for Power Means in Euclidean Spaces
Authors: Vincent Cohen-Addad, David Saulpic, Chris Schwiegelshohn
Affiliations: Aarhus University; Sorbonne Université, Paris; Google Research, Zurich
Conference: nips 2021 (main track)
Keywords: Clustering;sublinear algorithms;coresets;sampling
Decision: Spotlight
Title: Analytic Study of Families of Spurious Minima in Two-Layer ReLU Neural Networks: A Tale of Symmetry II
Authors: Yossi Arjevani, Michael Field
Affiliations: The Hebrew University; UC Santa Barbara
Conference: nips 2021 (main track)
Keywords: Neural networks;optimization;symmetry;symmetry breaking;spurious minima;bad local minima;nonconvex;deep learning
Decision: Poster
Title: Do Wider Neural Networks Really Help Adversarial Robustness?
Authors: Boxi Wu, Jinghui Chen, Deng Cai, Xiaofei He, Quanquan Gu
Affiliations: State Key Lab of CAD&CG, Zhejiang University; Pennsylvania State University, State College, PA 16801; Dept. of Computer Science, UCLA
Conference: nips 2021 (main track)
Keywords: Adversarial Examples;Network Width;Neural Tangent Kernel
Decision: Poster
Title: An Improved Analysis and Rates for Variance Reduction under Without-replacement Sampling Orders
Authors: Xinmeng Huang, Kun Yuan, Xianghui Mao, Wotao Yin
Affiliations: DAMO Academy, Alibaba Group, Bellevue, WA 98004; University of Pennsylvania, Philadelphia, PA 19104; Tsinghua University, Beijing, China 100084
Conference: nips 2021 (main track)
Keywords: convex optimization;stochastic optimization;SGD;variance reduction
Decision: Poster
Title: Self-Consistent Models and Values
Authors: Greg Farquhar, Kate Baumli, Zita Marinho, Angelos Filos, Matteo Hessel, Hado van Hasselt, David Silver
Affiliations: University of Oxford; DeepMind
Conference: nips 2021 (main track)
Keywords: reinforcement learning;model-based reinforcement learning;planning;value equivalence
Decision: Poster
Title: Inverse Optimal Control Adapted to the Noise Characteristics of the Human Sensorimotor System
Authors: Matthias Schultheis, Dominik Straub, Constantin Rothkopf
Affiliations: Centre for Cognitive Science, Technical University of Darmstadt, Darmstadt, Germany
Conference: nips 2021 (main track)
Keywords: motor control;optimal feedback control;inverse optimal control;signal-dependent noise
Decision: Poster
Title: MOMA: Multi-Object Multi-Actor Activity Parsing
Authors: Zelun Luo, Wanze Xie, Siddharth Kapoor, Yiyun Liang, Michael Cooper, Juan Carlos Niebles, Ehsan Adeli, Fei-Fei Li
Affiliations: Stanford University
Conference: nips 2021 (main track)
Keywords: activity recognition;video understanding;human-object interaction;temporal action detection
Decision: Poster
Title: Implicit Transformer Network for Screen Content Image Continuous Super-Resolution
Authors: Jingyu Yang, Sheng Shen, Huanjing Yue, Kun Li
Affiliations: School of Electrical and Information Engineering, Tianjin University; College of Intelligence and Computing, Tianjin University
Conference: nips 2021 (main track)
Keywords: Implicit fuction;Transformer;Continuous super-resolution;Screen content images
Decision: Poster
Title: Stochastic Solutions for Linear Inverse Problems using the Prior Implicit in a Denoiser
Authors: Zahra Kadkhodaie, Eero Simoncelli
Affiliations: Center for Data Science, New York University; Center for Neural Science, Courant Inst. of Mathematical Sciences, New York University, Flatiron Institute, Simons Foundation
Conference: nips 2021 (main track)
Keywords: inverse problems;image priors;unsupervised learning;semi-supervised learning;deblurring;superresolution;compressive sensing
Decision: Poster
Title: Online Learning and Control of Complex Dynamical Systems from Sensory Input
Authors: Oumayma Bounou, Jean Ponce, Justin Carpentier
Affiliations: Inria and Département d’Informatique de l’Ecole Normale Supérieure, PSL Research University; Inria and Département d’Informatique de l’Ecole Normale Supérieure, PSL Research University; Center for Data Science, New York University
Conference: nips 2021 (main track)
Keywords: Robotics and Control;Computer Vision
Decision: Poster
Title: Fast Doubly-Adaptive MCMC to Estimate the Gibbs Partition Function with Weak Mixing Time Bounds
Authors: Shahrzad Haddadan, Yue Zhuang, Cyrus Cousins, Eli Upfal
Affiliations: Brown University, Department of Computer Science; Brown University, The Data Science Initiative
Conference: nips 2021 (main track)
Keywords: MCMC;Gibbs distribution;partition functions
Decision: Poster
Title: Causal Inference for Event Pairs in Multivariate Point Processes
Authors: Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Xiao Shou, Nicholas Mattei, Kristin P Bennett
Affiliations: Tulane University; RPI; IBM Research
Conference: nips 2021 (main track)
Keywords: causal inference;point process
Decision: Poster
Title: Gradient Inversion with Generative Image Prior
Authors: Jinwoo Jeon, jaechang Kim, Kangwook Lee, Sewoong Oh, Jungseul Ok
Affiliations: Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison; Graduate School of Artiﬁcial Intelligence, Pohang University of Science and Technology; Department of Computer Science & Engineering, Pohang University of Science and Technology and Graduate School of Artiﬁcial Intelligence, Pohang University of Science and Technology; Paul G. Allen School of Computer Science & Engineering, University of Washington; Department of Computer Science & Engineering, Pohang University of Science and Technology
Conference: nips 2021 (main track)
Keywords: Federated Learning;Privacy Leakage;Gradient Inversion;Generative Model
Decision: Poster
Title: Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space
Authors: Sandesh Ghimire, Aria Masoomi, Jennifer Dy
Affiliations: Department of Electrical and Computer Engineering, Northeastern University
Conference: nips 2021 (main track)
Keywords: RKHS;KL Divergence;Sample Complexity;Statistical Learning Theory;Kernel Methods;Bayesian inference;Mutual Information;Reliable estimation
Decision: Spotlight
Title: Tighter Expected Generalization Error Bounds via Wasserstein Distance
Authors: Borja Rodríguez Gálvez, German Bassi, Ragnar Thobaben, Mikael Skoglund
Affiliations: Ericsson Research, Stockholm, Sweden; KTH Royal Institute of Technology, Stockholm, Sweden
Conference: nips 2021 (main track)
Keywords: generalization error;wasserstein distance
Decision: Poster
Title: Robust Contrastive Learning Using Negative Samples with Diminished Semantics
Authors: Songwei Ge, Shlok Mishra, Chun-Liang Li, Haohan Wang, David Jacobs
Affiliations: Carnegie Mellon University; Google Cloud AI; University of Maryland
Conference: nips 2021 (main track)
Keywords: contrastive learning;out-of-the-domain;self-supervised learning;hard negative mining
Decision: Poster
Title: Neural Production Systems
Authors: Anirudh Goyal, Aniket Didolkar, Nan Rosemary Ke, Charles Blundell, Philippe Beaudoin, Nicolas Heess, Michael Mozer, Yoshua Bengio
Affiliations: Mila, University of Montreal; Waverly; Google Deepmind; Google Research, Brain Team
Conference: nips 2021 (main track)
Keywords: production systems;attention-based sparse entity interactions;knowledge factorization
Decision: Poster
Title: Perturb-and-max-product: Sampling and learning in discrete energy-based models
Authors: Miguel Lazaro-Gredilla, Antoine Dedieu, Dileep George
Affiliations: Vicarious AI
Conference: nips 2021 (main track)
Keywords: max-product;perturb-and-map;discrete graphical models;energy based models;belief revision;belief propagation
Decision: Poster
Title: Generalized DataWeighting via Class-Level Gradient Manipulation
Authors: Can Chen, Shuhao Zheng, Xi Chen, Erqun Dong, Xue (Steve) Liu, Hao Liu, Dejing Dou
Affiliations: McGill University; Baidu Research; The Hong Kong University of Science and Technology
Conference: nips 2021 (main track)
Keywords: instance weighting;meta-learning;bi-level optimization;classification;chain rule
Decision: Poster
Title: Contemporary Symbolic Regression Methods and their Relative Performance
Affiliations: Josef Ressel Center for Symbolic Regression, University of Applied Sciences Upper Austria; Boston Children’s Hospital, Harvard Medical School; Institute for Biomedical Informatics, University of Pennsylvania; Life Sciences and Health Group, Centrum Wiskunde & Informatica; Department of Statistics, Stanford University; Federal University of ABC, Santo Andre, Brazil
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: symbolic regression;benchmarks;physics;differential equations
Decision: Poster
Title: Robust Allocations with Diversity Constraints
Authors: Zeyu Shen, Lodewijk Gelauff, Ashish Goel, Aleksandra Korolova, Kamesh Munagala
Affiliations: Duke University, Durham NC 27708-0129; Management Science and Engineering, Stanford University, Stanford CA 94305; Department of Computer Science, University of Southern California; Department of Computer Science, Duke University, Durham NC 27708-0129
Conference: nips 2021 (main track)
Keywords: Resource allocation;algorithmic fairness;online advertising;Nash Welfare;social welfare
Decision: Poster
Title: Learning Diverse Policies in MOBA Games via Macro-Goals
Authors: Yiming Gao, Bei Shi, Xueying Du, Liang Wang, Guangwei Chen, Zhenjie Lian, Fuhao Qiu, GUOAN HAN, Weixuan Wang, Deheng Ye, Qiang Fu, Wei Yang, Lanxiao Huang
Affiliations: Tencent AI Lab, Shenzhen, China; Tencent TiMi L1 Studio, Chengdu, China
Conference: nips 2021 (main track)
Keywords: Deep Reinforcement Learning;Diverse Policies;Game Playing;Goal-based Learning
Decision: Poster
Title: Evaluation of Human-AI Teams for Learned and Rule-Based Agents in Hanabi
Authors: Ho Chit Siu, Jaime Peña, Edenna Chen, Yutai Zhou, Victor Lopez, Kyle Palko, Kimberlee Chang, Ross Allen
Conference: nips 2021 (main track)
Keywords: Human-AI Teaming;Deep Learning;Reinforcement Learning
Decision: Poster
Title: SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios
Authors: Suraj Kothawade, Nathan Beck, Krishnateja Killamsetty, Rishabh Iyer
Affiliations: University of Texas at Dallas
Conference: nips 2021 (main track)
Keywords: Submodularity;Active Learning;Information Measures;Realistic;Redundancy;Rare Classes;Out of distribution;Robust
Decision: Poster
Title: Accommodating Picky Customers: Regret Bound and Exploration Complexity for Multi-Objective Reinforcement Learning
Authors: Jingfeng Wu, Vladimir Braverman, Lin Yang
Affiliations: Department of Electrical and Computer Engineering, University of California, Los Angeles, Los Angeles, CA 90095; Department of Computer Science, Johns Hopkins University, Baltimore, MD 21218
Conference: nips 2021 (main track)
Keywords: RL;multi-objective;sample complexity;unsupervised exploration
Decision: Poster
Title: Locally Valid and Discriminative Prediction Intervals for Deep Learning Models
Authors: Zhen Lin, Shubhendu Trivedi, Jimeng Sun
Affiliations: University of Illinois at Urbana-Champaign; MIT
Conference: nips 2021 (main track)
Keywords: Deep Learning;Local Validity;Conformal Prediction;Uncertainty Quantification;Prediction Interval
Decision: Poster
Title: Understanding End-to-End Model-Based Reinforcement Learning Methods as Implicit Parameterization
Authors: Clement Gehring, Kenji Kawaguchi, Jiaoyang Huang, Leslie Kaelbling
Affiliations: Electrical Engineering and Computer Sciences, Massachusetts Institute of Technology; Center of Mathematical Sciences and Applications, Harvard University; Courant Institute of Mathematical Sciences, New York University
Conference: nips 2021 (main track)
Keywords: model-based;reinforcement learning;end-to-end;implicit
Decision: Poster
Title: Perturbation-based Regret Analysis of Predictive Control in Linear Time Varying Systems
Authors: Yiheng Lin, Yang Hu, Guanya Shi, Haoyuan Sun, Guannan Qu, Adam Wierman
Affiliations: Tsinghua University, Beijing, China; California Institute of Technology, Pasadena, CA, USA
Conference: nips 2021 (main track)
Keywords: Linear time-varying system;Online convex optimization;Predictive control;Sensitivity analysis
Decision: Spotlight
Title: Structure-Aware Random Fourier Kernel for Graphs
Authors: Jinyuan Fang, Qiang Zhang, Zaiqiao Meng, Shangsong Liang
Affiliations: School of Computer Science and Engineering, Sun Yat-sen University, China; Guangdong Key Laboratory of Big Data Analysis and Processing, Guangzhou, China; Mohamed bin Zayed University of Artiﬁcial Intelligence, United Arab Emirates; Hangzhou Innovation Center, Zhejiang University, China; College of Computer Science and Technology, Zhejiang University, China; AZFT Knowledge Engine Lab, China; School of Computer Science and Engineering, Sun Yat-sen University, China; Guangdong Key Laboratory of Big Data Analysis and Processing, Guangzhou, China; School of Computing Science, University of Glasgow, United Kingdom; Mohamed bin Zayed University of Artiﬁcial Intelligence, United Arab Emirates
Conference: nips 2021 (main track)
Keywords: Structure-Aware Random Fourier Kernel;Gaussian Process;Graph Learning;Random Fourier Feature
Decision: Poster
Title: VFP290K: A Large-Scale Benchmark Dataset for Vision-based Fallen Person Detection
Affiliations: College of Computing and Informatics, Sungkyunkwan University, South Korea; Department of Applied Data Science, Sungkyunkwan University, South Korea; Department of Artiﬁcial Intelligence, Sungkyunkwan University, South Korea
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: fall detection;computer vision;object detection
Decision: Poster
Title: No-regret Online Learning over Riemannian Manifolds
Authors: Xi Wang, Zhipeng Tu, Yiguang Hong, Yingyi Wu, Guodong Shi
Affiliations: University of Chinese Academy of Sciences, Beijing, China; The University of Sydney, NSW, Australia; AMSS, Chinese Academy of Sciences, Beijing, China; Tongji University, Shanghai, China
Conference: nips 2021 (main track)
Keywords: Online optimization;Riemannian manifolds;Riemannian optimization
Decision: Poster
Title: Solving Soft Clustering Ensemble via $k$-Sparse Discrete Wasserstein Barycenter
Authors: Ruizhe Qin, Mengying Li, Hu Ding
Affiliations: School of Data Science, University of Science and Technology of China; School of Computer Science and Technology, University of Science and Technology of China
Conference: nips 2021 (main track)
Keywords: ensemble clustering;Wasserstein barycenter;soft clustering;approximation algorithm
Decision: Poster
Title: Identification of Partially Observed Linear Causal Models: Graphical Conditions for the Non-Gaussian and Heterogeneous Cases
Authors: Jeffrey Adams, Niels Hansen, Kun Zhang
Affiliations: Department of Mathematical Sciences, University of Copenhagen, Denmark; Department of Philosophy, Carnegie Mellon University, Pittsburgh, USA
Conference: nips 2021 (main track)
Keywords: Causal Discovery;Structural Equation Models;Latent Variable Modeling
Decision: Poster
Title: A 3D Generative Model for Structure-Based Drug Design
Authors: Shitong Luo, Jiaqi Guan, Jianzhu Ma, Jian Peng
Affiliations: HeliXon Research; University of Illinois Urbana-Champaign; Peking University
Conference: nips 2021 (main track)
Keywords: molecule generation;3d generative models;drug design
Decision: Poster
Title: Graph Neural Networks with Local Graph Parameters
Authors: Pablo Barceló, Floris Geerts, Juan Reutter, Maksimilian Ryschkov
Affiliations: Department of Computer Science, PUC, Chile; Millennium Institute for Foundational Research on Data, Chile; Department of Computer Science, University of Antwerp, Belgium
Conference: nips 2021 (main track)
Keywords: graph neural network;GNN;finite model theory;homomorphism counts
Decision: Poster
Title: A Prototype-Oriented Framework for Unsupervised Domain Adaptation
Authors: Korawat Tanwisuth, Xinjie Fan, Huangjie Zheng, Shujian Zhang, Hao Zhang, Bo Chen, Mingyuan Zhou
Affiliations: Xidian University; Cornell University; The University of Texas at Austin
Conference: nips 2021 (main track)
Keywords: domain adaptation;Bayesian methods;distribution matching;data privacy;class imbalance;computer vision;deep learning
Decision: Poster
Title: GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph
Authors: Junhan Yang, Zheng Liu, Shitao Xiao, Chaozhuo Li, Defu Lian, Sanjay Agrawal, Amit Singh, Guangzhong Sun, Xing Xie
Affiliations: Beijing University of Posts and Telecommunications, Beijing, China; University of Science and Technology of China, Hefei, China; Microsoft Research Asia, Beijing, China; Microsoft India Development Center, Bengaluru, India
Conference: nips 2021 (main track)
Keywords: representation learning on textual graph;text mining;graph mining;relevance modeling
Decision: Poster
Title: Directed Graph Contrastive Learning
Authors: Zekun Tong, Yuxuan Liang, Henghui Ding, Yongxing Dai, Xinke Li, Changhu Wang
Affiliations: National University of Singapore; Peking University; ByteDance, ETH Zürich; ByteDance
Conference: nips 2021 (main track)
Keywords: Contrastive Learning;Directed Graph;Graph Neural Network;Curriculum Learning
Decision: Poster
Title: On Margin-Based Cluster Recovery with Oracle Queries
Authors: Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice
Affiliations: Google; DSRC & Dept. of CS, Univ. of Milan, Italy; Dept. of CS, Univ. of Milan, Italy & Istituto Italiano di Tecnologia, Italy; Dept. of CS, Univ. of Milan, Italy
Conference: nips 2021 (main track)
Keywords: theory of clustering;active learning;clustering in metric spaces;convex hulls;clustering stability;same-cluster queries
Decision: Poster
Title: Optimal Uniform OPE and Model-based Offline Reinforcement Learning in Time-Homogeneous, Reward-Free and Task-Agnostic Settings
Authors: Ming Yin, Yu-Xiang Wang
Affiliations: Department of Computer Science, UC Santa Barbara; Department of Computer Science, UC Santa Barbara and Department of Statistics and Applied Probability, UC Santa Barbara
Conference: nips 2021 (main track)
Keywords: Theory;Reinforcement learning theory;Markov decision process theory
Decision: Poster
Title: Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning
Authors: Yiqin Yang, Xiaoteng Ma, Chenghao Li, Zewu Zheng, Qiyuan Zhang, Gao Huang, Jun Yang, Qianchuan Zhao
Affiliations: Harbin Institute of Technology; Tsinghua University
Conference: nips 2021 (main track)
Keywords: Extrapolation Error;Offline Reinforcement Learning;Multi-Agent Reinforcement Learning
Decision: Spotlight
Title: Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning
Authors: Xinyi Xu, Lingjuan Lyu, Xingjun Ma, Chenglin Miao, Chuan Sheng Foo, Bryan Kian Hsiang Low
Affiliations: Department of Computer Science, National University of Singapore, Republic of Singapore; Institute for Infocomm Research, A*STAR, Republic of Singapore; Department of Computer Science, University of Georgia, USA; Sony AI, School of Computer Science, Fudan University, People’s Republic of China; Institute for Infocomm Research, A*STAR, Republic of Singapore; Department of Computer Science, National University of Singapore, Republic of Singapore
Conference: nips 2021 (main track)
Keywords: Federated learning;Shapley value;Fairness;Incentives
Decision: Poster
Title: Even your Teacher Needs Guidance: Ground-Truth Targets Dampen Regularization Imposed by Self-Distillation
Authors: Kenneth Borup, Lars N. Andersen
Affiliations: Department of Mathematics, Aarhus University
Conference: nips 2021 (main track)
Keywords: Knowledge Distillation;Self Distillation;Kernel Ridge Regression;Statistical Learning;Theory
Decision: Poster
Title: Ising Model Selection Using $\ell_{1}$-Regularized Linear Regression: A Statistical Mechanics Analysis
Authors: Xiangming Meng, Tomoyuki Obuchi, Yoshiyuki Kabashima
Affiliations: Institute for Physics of Intelligence, The University of Tokyo; Department of Systems Science, Kyoto University
Conference: nips 2021 (main track)
Keywords: Ising model;Lasso;replica method;statistical physics
Decision: Poster
Title: Combining Recurrent, Convolutional, and Continuous-time Models with Linear State Space Layers
Authors: Albert Gu, Isys Johnson, Karan Goel, Khaled Saab, Tri Dao, Atri Rudra, Christopher Ré
Affiliations: Department of Computer Science, Stanford University; Department of Electrical Engineering, Stanford University; Department of Computer Science and Engineering, University at Buffalo, SUNY
Conference: nips 2021 (main track)
Keywords: recurrent neural networks;convolutions;continuous time models;sequence models;state space;time series;deep learning architecture
Decision: Poster
Title: MST: Masked Self-Supervised Transformer for Visual Representation
Authors: Zhaowen Li, Zhiyang Chen, Fan Yang, Wei Li, Yousong Zhu, Chaoyang Zhao, Rui Deng, Liwei Wu, Rui Zhao, Ming Tang, Jinqiao Wang
Affiliations: University of California, Los Angeles & SenseTime Research; SenseTime Research; National Laboratory of Pattern Recognition, Institute of Automation, CAS; National Laboratory of Pattern Recognition, Institute of Automation, CAS & School of Artificial Intelligence, University of Chinese Academy of Sciences
Conference: nips 2021 (main track)
Keywords: Self-supervised;Transformer;Attention-guided mask strategy
Decision: Poster
Title: Neural Program Generation Modulo Static Analysis
Authors: Rohan Mukherjee, Yeming Wen, Dipak Chaudhari, Thomas Reps, Swarat Chaudhuri, Christopher Jermaine
Affiliations: Rice University; University of Wisconsin; UT Austin
Conference: nips 2021 (main track)
Keywords: Program generation;neurosymbolic learning;attribute grammars;program synthesis
Decision: Spotlight
Title: Stability and Deviation Optimal Risk Bounds with Convergence Rate $O(1/n)$
Authors: Yegor Klochkov, Nikita Zhivotovskiy
Affiliations: Cambridge-INET, Faculty of Economics, University of Cambridge; Department of Mathematics, ETH, Zürich
Conference: nips 2021 (main track)
Keywords: algorithmic stability;generalization bounds;concentration inequalities;stochastic convex optimization
Decision: Oral
Title: End-to-end Multi-modal Video Temporal Grounding
Authors: Yi-Wen Chen, Yi-Hsuan Tsai, Ming-Hsuan Yang
Affiliations: Phiar; University of California, Merced, Yonsei University, Google Research; University of California, Merced
Conference: nips 2021 (main track)
Keywords: Computer Vision;Vision and Language;Video Temporal Grounding;Multi-modal Learning;Transformer;Contrastive Learning
Decision: Poster
Title: Pareto-Optimal Learning-Augmented Algorithms for Online Conversion Problems
Authors: Bo Sun, Russell Lee, Mohammad Hajiesmaili, Adam Wierman, Danny Tsang
Affiliations: CMS, Caltech; CICS, UMass Amherst; ECE, HKUST
Conference: nips 2021 (main track)
Keywords: learning-augmented algorithm;robustness;consistency;Pareto-optimality;online conversion problem
Decision: Poster
Title: Minimizing Polarization and Disagreement in Social Networks via Link Recommendation
Authors: Liwang Zhu, Qi Bao, Zhongzhi Zhang
Affiliations: School of Computer Science, Fudan University, Shanghai 200433, China; Shanghai Key Lab of Intelligent Information Processing, Fudan University, Shanghai, China
Conference: nips 2021 (main track)
Keywords: Opinion dynamics;social network;graph algorithm;discrete optimization
Decision: Poster