hunoutl/paperlists huggingface dataset:
Title: Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting
Authors: Gen Li, Yuxin Chen, Yuejie Chi, Yuantao Gu, Yuting Wei
Affiliations: Princeton; Tsinghua; CMU; UPenn
Conference: nips 2021 (main track)
Keywords: reinforcement learning;linearly realizable optimal Q-functions;sub-optimality gap;state revisiting;sample efficiency
Decision: Poster
Title: Adversarial Examples for k-Nearest Neighbor Classifiers Based on Higher-Order Voronoi Diagrams
Authors: Chawin Sitawarin, Evgenios Kornaropoulos, Dawn Song, David Wagner
Affiliations: George Mason University; UC Berkeley
Conference: nips 2021 (main track)
Keywords: adversarial examples;k-nearest neighbors;robustness;Voronoi diagram
Decision: Poster
Title: Backdoor Attack with Imperceptible Input and Latent Modification
Authors: Khoa Doan, Yingjie Lao, Ping Li
Affiliations: Cognitive Computing Lab, Baidu Research, 10900 NE 8th St. Bellevue, WA 98004, USA
Conference: nips 2021 (main track)
Keywords: backdoor attacks;generative models;wasserstein distance
Decision: Poster
Title: (Almost) Free Incentivized Exploration from Decentralized Learning Agents
Authors: Chengshuai Shi, Haifeng Xu, Wei Xiong, Cong Shen
Affiliations: University of Virginia; The Hong Kong University of Science and Technology
Conference: nips 2021 (main track)
Keywords: Incentivized Exploration;Principal Agent Models;Multi-armed Bandits
Decision: Poster
Title: One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective
Authors: Jiun Tian Hoe, Kam Woh Ng, Tianyu Zhang, Chee Seng Chan, Yi-Zhe Song, Tao Xiang
Affiliations: Geek+, China; CVSSP, University of Surrey, U.K.; CISiP, Universiti Malaya, Malaysia
Conference: nips 2021 (main track)
Keywords: hashing;deep hashing;learning to hash;image retrieval;instance level retrieval
Decision: Poster
Title: CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks
Authors: Sakshi Varshney, Vinay Kumar Verma, P. K. Srijith, Lawrence Carin, Piyush Rai
Affiliations: KAUST Saudi Arabia; Duke University; IIT Hyderabad; IIT Kanpur
Conference: nips 2021 (main track)
Keywords: Continual Learning;Incremental Learning;Efficient Representation Learning;Generative Adversarial Network
Decision: Poster
Title: All Tokens Matter: Token Labeling for Training Better Vision Transformers
Authors: Zi-Hang Jiang, Qibin Hou, Li Yuan, Daquan Zhou, Yujun Shi, Xiaojie Jin, Anran Wang, Jiashi Feng
Affiliations: National University of Singapore; Peking University; ByteDance; Nankai University
Conference: nips 2021 (main track)
Keywords: Image classification;neural network;vision transformer;semantic segmentation
Decision: Poster
Title: From global to local MDI variable importances for random forests and when they are Shapley values
Authors: Antonio Sutera, Gilles Louppe, Van Anh Huynh-Thu, Louis Wehenkel, Pierre Geurts
Affiliations: Dept. of EE & CS, University of Liège, Belgium
Conference: nips 2021 (main track)
Keywords: random forests;variable importances;shapley values;feature ranking;information theory;explainability;interpretable machine learning
Decision: Poster
Title: Focal Attention for Long-Range Interactions in Vision Transformers
Authors: Jianwei Yang, Chunyuan Li, Pengchuan Zhang, Xiyang Dai, Bin Xiao, Lu Yuan, Jianfeng Gao
Affiliations: Microsoft Research at Redmond; Microsoft Cloud + AI
Conference: nips 2021 (main track)
Keywords: Focal Attention;Self-Attention;Long-range Interactions;Local-Global Interactions;Vision Transformer;Image Classification;Object Detection
Decision: Spotlight
Title: Learning Hard Optimization Problems: A Data Generation Perspective
Authors: James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck
Affiliations: Georgia Institute of Technology, Atlanta, GA 30332; Syracuse University, Syracuse, NY 13244
Conference: nips 2021 (main track)
Keywords: Combinatorial Optimization;Constrained Optimization;Supervised Learning;Data generation
Decision: Poster
Title: Streaming Belief Propagation for Community Detection
Authors: Yuchen Wu, Jakab Tardos, Mohammadhossein Bateni, André Linhares, Filipe Miguel Goncalves de Almeida, Andrea Montanari, Ashkan Norouzi-Fard
Affiliations: Stanford University; EPFL; Google Research
Conference: nips 2021 (main track)
Keywords: community detection;stochastic block model;streaming algorithm;local algorithm
Decision: Poster
Title: The Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation
Authors: Thibault Sejourne, Francois-Xavier Vialard, Gabriel Peyré
Affiliations: Ecole Normale Supérieure, DMA, CNRS, PSL; Ecole Normale Supérieure, DMA, PSL; Université Gustave Eiffel
Conference: nips 2021 (main track)
Keywords: Optimal transport;Quadratic assignment problem;Gromov-Wasserstein
Decision: Poster
Title: On the Role of Optimization in Double Descent: A Least Squares Study
Authors: Ilja Kuzborskij, Csaba Szepesvari, Omar Rivasplata, Amal Rannen-Triki, Razvan Pascanu
Affiliations: University of Alberta, DeepMind Edmonton, Canada; University College London; DeepMind
Conference: nips 2021 (main track)
Keywords: Double Descent;Optimization Error;Excess Risk;Generalization;Least Squares
Decision: Poster
Title: ProTo: Program-Guided Transformer for Program-Guided Tasks
Authors: Zelin Zhao, Karan Samel, Binghong Chen, lee song
Affiliations: Georgia Institute of Technology; Biomap and MBZUAI; The Chinese University of Hong Kong
Conference: nips 2021 (main track)
Keywords: program-guided tasks;learning to execute;program-guided agent;neural symbolic reasoning
Decision: Poster
Title: Efficient Mirror Descent Ascent Methods for Nonsmooth Minimax Problems
Authors: Feihu Huang, Xidong Wu, Heng Huang
Affiliations: Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, USA
Conference: nips 2021 (main track)
Keywords: Mirror Descent;Minimax Optimization;Nonconvex-Strongly-Concave;Nonsmooth;Fair Classifier;Robust Neural Network Training
Decision: Poster
Title: On Training Implicit Models
Authors: Zhengyang Geng, Xin-Yu Zhang, Shaojie Bai, Yisen Wang, Zhouchen Lin
Affiliations: Key Lab. of Machine Perception, School of AI, Peking University; Key Lab. of Machine Perception, School of AI, Peking University; Institute for Artiﬁcial Intelligence, Peking University; Pazhou Lab, China; Carnegie Mellon University; Zhejiang Lab, China; Key Lab. of Machine Perception, School of AI, Peking University; Key Lab. of Machine Perception, School of AI, Peking University; Institute for Artiﬁcial Intelligence, Peking University
Conference: nips 2021 (main track)
Keywords: implicit models;deep learning;optimization;training
Decision: Poster
Title: Towards robust vision by multi-task learning on monkey visual cortex
Authors: Shahd Safarani, Arne Nix, Konstantin Willeke, Santiago Cadena, Kelli Restivo, George Denfield, Andreas Tolias, Fabian Sinz
Affiliations: Institute for Bioinformatics and Medical Informatics, University Tübingen, Germany; International Max Planck Research School for Intelligent Systems, Tübingen, Germany; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA; International Max Planck Research School for Intelligent Systems, Tübingen, Germany; Institute for Computer Science, University of Göttingen, Germany; Institute for Bioinformatics and Medical Informatics, University Tübingen, Germany; International Max Planck Research School for Intelligent Systems, Tübingen, Germany; Columbia University, Department of Psychiatry, New York, USA; Department for Neuroscience, Baylor College of Medicine, Houston, TX, USA; Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA; Institute for Bioinformatics and Medical Informatics, University Tübingen, Germany
Conference: nips 2021 (main track)
Keywords: deep learning;neuroscience;computer vision;robustness
Decision: Poster
Title: The Role of Global Labels in Few-Shot Classification and How to Infer Them
Authors: Ruohan Wang, Massimiliano Pontil, Carlo Ciliberto
Affiliations: University College London, Institute for Infocomm Research, A*STAR; University College London; Istituto Italiano di Tecnologia, University College London
Conference: nips 2021 (main track)
Keywords: Meta-Learning;Few-Shot Learning
Decision: Poster
Title: There Is No Turning Back: A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning
Authors: Nathan Grinsztajn, Johan Ferret, Olivier Pietquin, philippe preux, Matthieu Geist
Affiliations: Google Research, Brain Team; Inria, Scool Team, CRIStAL, CNRS, Université de Lille; Google Research, Brain Team, Inria, Scool Team, CRIStAL, CNRS, Université de Lille
Conference: nips 2021 (main track)
Keywords: reinforcement learning;reversibility;exploration;safety
Decision: Poster
Title: The Lazy Online Subgradient Algorithm is Universal on Strongly Convex Domains
Authors: Daron Anderson, Douglas Leith
Affiliations: School of Computer Science and Statistics, Trinity College Dublin
Conference: nips 2021 (main track)
Keywords: optimisation;online learning;FTRL;subgradient;gradient descent;sequential;machine learning;strongly convex;logarithmic;pseudoregret;expected regret;differential geometry;curvature
Decision: Poster
Title: DOBF: A Deobfuscation Pre-Training Objective for Programming Languages
Authors: Marie-Anne Lachaux, Baptiste Roziere, Marc Szafraniec, Guillaume Lample
Affiliations: Facebook AI Research; Facebook AI Research, Paris-Dauphine University
Conference: nips 2021 (main track)
Keywords: code;obfuscation;programming languages;pre-training;deobfuscation;ML for code;ML for Programming Languages
Decision: Poster
Title: FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
Authors: Bowen Zhang, Yidong Wang, Wenxin Hou, HAO WU, Jindong Wang, Manabu Okumura, Takahiro Shinozaki
Affiliations: Microsoft Research Asia; Tokyo Institute of Technology; Microsoft
Conference: nips 2021 (main track)
Keywords: semi-supervised learning;pseudo labeling;consistency regularization
Decision: Poster
Title: Efficient First-Order Contextual Bandits: Prediction, Allocation, and Triangular Discrimination
Authors: Dylan Foster, Akshay Krishnamurthy
Affiliations: Microsoft Research, New England; Microsoft Research, NYC
Conference: nips 2021 (main track)
Keywords: contextual bandits;reinforcement learning;statistical learning;learning theory;fast rates;adaptivity;sequential probability assignment;conditional density estimation;logarithmic loss
Decision: Oral
Title: Learning Signal-Agnostic Manifolds of Neural Fields
Authors: Yilun Du, Katie Collins, Josh Tenenbaum, Vincent Sitzmann
Affiliations: MIT CBMM; MIT CSAIL; MIT BCS
Conference: nips 2021 (main track)
Keywords: Neural Fields;Coordinate-based;Implicit Function;Manifold;Multimodal;Generative Model;Cross-Modal
Decision: Poster
Title: Regime Switching Bandits
Authors: Xiang Zhou, Yi Xiong, Ningyuan Chen, Xuefeng GAO
Affiliations: The Rotman School of Management, University of Toronto; Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong
Conference: nips 2021 (main track)
Keywords: regime switching;POMDP;hidden state;exploration-exploitation;spectral method;multi-armed bandit
Decision: Poster
Title: Modality-Agnostic Topology Aware Localization
Authors: Farhad Ghazvinian Zanjani, Ilia Karmanov, Hanno Ackermann, Daniel Dijkman, Simone Merlin, Max Welling, Fatih Porikli
Affiliations: Qualcomm AI Research∗
Conference: nips 2021 (main track)
Keywords: Manifold learning;optimal transportation;indoor localization
Decision: Poster
Title: MarioNette: Self-Supervised Sprite Learning
Authors: Dmitriy Smirnov, MICHAEL GHARBI, Matthew Fisher, Vitor Guizilini, Alexei Efros, Justin Solomon
Affiliations: Toyota Research Institute; MIT; Adobe Research; UC Berkeley
Conference: nips 2021 (main track)
Keywords: self-supervised learning;dictionary learning;instance segmentation;2d graphics
Decision: Poster
Title: Efficient Equivariant Network
Authors: Lingshen He, Yuxuan Chen, zhengyang shen, Yiming Dong, Yisen Wang, Zhouchen Lin
Affiliations: School of Mathematical Sciences and LMAM, Peking University; Key Laboratory of Machine Perception (MOE), School of Artiﬁcial Intelligence, Peking University; Institute for Artiﬁcial Intelligence, Peking University
Conference: nips 2021 (main track)
Keywords: equivariance;efficient
Decision: Poster
Title: Post-Contextual-Bandit Inference
Authors: Aurelien Bibaut, Maria Dimakopoulou, Nathan Kallus, Antoine Chambaz, Mark van der Laan
Affiliations: Netﬂix; University of California, Berkeley; Universit ´e de Paris; Cornell University and Netﬂix
Conference: nips 2021 (main track)
Keywords: contextual bandit;causal inference;confidence intervals;adaptive data collection
Decision: Poster
Title: Landmark-RxR: Solving Vision-and-Language Navigation with Fine-Grained Alignment Supervision
Authors: Keji He, Yan Huang, Qi Wu, Jianhua Yang, Dong An, Shuanglin Sima, Liang Wang
Affiliations: Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences; School of Artiﬁcial Intelligence, University of Chinese Academy of Sciences; Center for Excellence in Brain Science and Intelligence Technology (CEBSIT); Chinese Academy of Sciences, Artiﬁcial Intelligence Research (CAS-AIR); Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences; School of Future Technology, University of Chinese Academy of Sciences; School of Artiﬁcial Intelligence, Beijing University of Posts and Telecommunications; Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences; School of Artiﬁcial Intelligence, University of Chinese Academy of Sciences; School of Computer Science, University of Adelaide
Conference: nips 2021 (main track)
Keywords: Vision-and-Language Navigation;Fine-grained dataset;Cross-modal alignment;Reward Shaping;Re-initialization mechanism
Decision: Poster
Title: Rethinking and Reweighting the Univariate Losses for Multi-Label Ranking: Consistency and Generalization
Authors: Guoqiang Wu, Chongxuan LI, Kun Xu, Jun Zhu
Affiliations: School of Software, Shandong University (formerly Dept. of Comp. Sci. & Tech., Tsinghua University); Dept. of Comp. Sci. & Tech., Tsinghua University; Gaoling School of AI, Renmin University of China (formerly Dept. of Comp. Sci. & Tech., Tsinghua University)
Conference: nips 2021 (main track)
Keywords: statistical learning theory;multi-label ranking;generalization;consistency
Decision: Poster
Title: Program Synthesis Guided Reinforcement Learning for Partially Observed Environments
Authors: Yichen Yang, Jeevana Priya Inala, Osbert Bastani, Yewen Pu, Armando Solar-Lezama, Martin Rinard
Affiliations: MIT EECS & CSAIL; Autodesk Research; Microsoft Research; University of Pennsylvania
Conference: nips 2021 (main track)
Keywords: program synthesis;reinforcement learning;partial observation
Decision: Spotlight
Title: Towards Understanding Why Lookahead Generalizes Better Than SGD and Beyond
Authors: Pan Zhou, Hanshu Yan, Xiaotong Yuan, Jiashi Feng, Shuicheng Yan
Affiliations: Sea AI Lab, Singapore; Nanjing University of Information Science & Technology, Nanjing, China
Conference: nips 2021 (main track)
Keywords: lookahead;excess risk error;deep learning optimization;deep learning generalization
Decision: Poster
Title: Contextual Recommendations and Low-Regret Cutting-Plane Algorithms
Authors: Sreenivas Gollapudi, Guru Guruganesh, Kostas Kollias, Pasin Manurangsi, Renato Leme, Jon Schneider
Affiliations: Google Research
Conference: nips 2021 (main track)
Keywords: Online Learning;Convex Geometry;Separation Oracles;Linear Bandits;Contextual Bandits
Decision: Poster
Title: Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory
Authors: Takashi Matsubara, Yuto Miyatake, Takaharu Yaguchi
Affiliations: Kobe University, Kobe, Japan 657–8501; Osaka University, Osaka, Japan 560–0043; Osaka University, Osaka, Japan 560–8531
Conference: nips 2021 (main track)
Keywords: ordinary differential equation;neural ODE;adjoint method;backpropagation;checkpointing scheme;symplectic integrator
Decision: Poster
Title: Statistically and Computationally Efficient Linear Meta-representation Learning
Authors: Kiran Thekumparampil, Prateek Jain, Praneeth Netrapalli, Sewoong Oh
Affiliations: Microsoft Research India; University of Illinois at Urbana-Champaign; Google Research India; University of Washington, Seattle
Conference: nips 2021 (main track)
Keywords: meta-learning;alternating minimization;few-shot learning;representation learning;spectral methods;matrix factorization
Decision: Poster
Title: Medical Dead-ends and Learning to Identify High-Risk States and Treatments
Authors: Mehdi Fatemi, Taylor Killian, Jayakumar Subramanian, Marzyeh Ghassemi
Affiliations: Massachusetts Institute of Technology; Media and Data Science Research, Adobe India; Microsoft Research; University of Toronto, Vector Institute
Conference: nips 2021 (main track)
Keywords: medical deadends;treatment security;reinforcement learning;offline rl;sepsis;healthcare
Decision: Poster
Title: Accumulative Poisoning Attacks on Real-time Data
Authors: Tianyu Pang, Xiao Yang, Yinpeng Dong, Hang Su, Jun Zhu
Affiliations: Department of Computer Science & Technology, Institute for AI, BNRist Center, Tsinghua-Bosch Joint ML Center, THBI Lab, Tsinghua University; Department of Computer Science & Technology, Institute for AI, BNRist Center, Tsinghua University; RealAI; Tsinghua University-China Mobile Communications Group Co., Ltd. Joint Institute; Department of Computer Science & Technology, Institute for AI, BNRist Center, Tsinghua University; RealAI; Department of Computer Science & Technology, Tsinghua University-China Mobile Communications Group Co., Ltd. Joint Institute
Conference: nips 2021 (main track)
Keywords: Poisoning attacks;Real-time data
Decision: Poster
Title: Can we globally optimize cross-validation loss? Quasiconvexity in ridge regression
Authors: Will Stephenson, Zachary Frangella, Madeleine Udell, Tamara Broderick
Affiliations: MIT; Cornell
Conference: nips 2021 (main track)
Keywords: Cross-validation;local optima;optimization;quasiconvexity;ridge regression;linear regression
Decision: Poster
Title: Learning to Combine Per-Example Solutions for Neural Program Synthesis
Authors: Disha Shrivastava, Hugo Larochelle, Daniel Tarlow
Affiliations: Mila, Université de Montréal; Google Research; CIFAR Fellow; Mila, McGill University; Google Research; Mila, Université de Montréal; Google Research
Conference: nips 2021 (main track)
Keywords: program synthesis;neural program synthesis;program induction;program understanding and generation;multi-head attention;programming by example
Decision: Poster
Title: Never Go Full Batch (in Stochastic Convex Optimization)
Authors: Idan Amir, Yair Carmon, Tomer Koren, Roi Livni
Affiliations: blavat†ik school of cs, tel aviv u†iversity; blavat†ik school of cs, tel aviv u†iversity, a† google research; departme†t of ee, tel aviv u†iversity
Conference: nips 2021 (main track)
Keywords: Stochastic Convex Optimization;First-order Optimization;Gradient Methods;Stochastic Gradient Descent;Generalization
Decision: Poster
Title: The Benefits of Implicit Regularization from SGD in Least Squares Problems
Authors: Difan Zou, Jingfeng Wu, Vladimir Braverman, Quanquan Gu, Dean Foster, Sham Kakade
Affiliations: University of California, Los Angeles; University of Washington & Microsoft Research; Amazon; Johns Hopkins University
Conference: nips 2021 (main track)
Keywords: stochastic gradient descent;implicit regularization;ridge regression;overparameterization
Decision: Poster
Title: Beltrami Flow and Neural Diffusion on Graphs
Authors: Benjamin Chamberlain, James Rowbottom, Davide Eynard, Francesco Di Giovanni, Xiaowen Dong, Michael Bronstein
Affiliations: Twitter Inc.; University of Oxford; Twitter Inc. and Imperial College London
Conference: nips 2021 (main track)
Keywords: Geometric Deep Learning;Graph Neural Network;Diffusion
Decision: Poster
Title: Uncertainty Calibration for Ensemble-Based Debiasing Methods
Authors: Ruibin Xiong, Yimeng Chen, Liang Pang, Xueqi Cheng, Zhi-Ming Ma, Yanyan Lan
Affiliations: University of Chinese Academy of Sciences; Data Intelligence System Research Center, Institute of Computing Technology, Chinese Academy of Sciences; CAS Key Laboratory of Network Data Science and Technology, Institute of Computing Technology, Chinese Academy of Sciences; Academy of Mathematics and Systems Science, Chinese Academy of Sciences; Institute for AI Industry Research, Tsinghua University
Conference: nips 2021 (main track)
Keywords: Debiasing;Calibration;bias-only model;NLI
Decision: Poster
Title: Outcome-Driven Reinforcement Learning via Variational Inference
Authors: Tim G. J. Rudner, Vitchyr Pong, Rowan McAllister, Yarin Gal, Sergey Levine
Affiliations: University of California, Berkeley; University of Oxford
Conference: nips 2021 (main track)
Keywords: Reinforcement Learning;Variational Inference;Goal Reaching
Decision: Poster
Title: Adversarial Neuron Pruning Purifies Backdoored Deep Models
Authors: Dongxian Wu, Yisen Wang
Affiliations: Dept. of Computer Science and Technology, Tsinghua University, China; Key Lab. of Machine Perception, School of Artiﬁcial Intelligence, Peking Univesity, China; Institute for Artiﬁcial Intelligence, Peking Univesity, China
Conference: nips 2021 (main track)
Keywords: backdoor attacks;backdoor defense;AI security;trustworthy machine learning
Decision: Poster
Title: FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout
Authors: Samuel Horváth, Stefanos Laskaridis, Mario Almeida, Ilias Leontiadis, Stylianos Venieris, Nicholas Lane
Affiliations: Samsung AI Center, Cambridge, UK; Samsung AI Center & University of Cambridge, Cambridge, UK; KAUST
Conference: nips 2021 (main track)
Keywords: Federated Learning;Heterogeneity;Efficient DNNs;Distributed Systems
Decision: Spotlight
Title: Neural Symplectic Form: Learning Hamiltonian Equations on General Coordinate Systems
Authors: Yuhan Chen, Takashi Matsubara, Takaharu Yaguchi
Affiliations: Kobe University, Kobe, Japan 657–8501; Osaka University, Osaka, Japan 560–8531
Conference: nips 2021 (main track)
Keywords: Hamiltonian Neural Networks;Hamiltonian Mechanics;Symplectic Geometry
Decision: Spotlight
Title: Finding Regions of Heterogeneity in Decision-Making via Expected Conditional Covariance
Authors: Justin Lim, Christina Ji, Michael Oberst, Saul Blecker, Leora Horwitz, David Sontag
Affiliations: MIT CSAIL and IMES, Cambridge, MA; NYU Langone, New York, NY
Conference: nips 2021 (main track)
Keywords: heterogeneity;causal inference;decision making;criminal justice;healthcare
Decision: Poster
Title: Diverse Message Passing for Attribute with Heterophily
Authors: Liang Yang, Mengzhe Li, Liyang Liu, bingxin niu, Chuan Wang, Xiaochun Cao, Yuanfang Guo
Affiliations: School of Artiﬁcial Intelligence, Hebei University of Technology, Tianjin, China; State Key Laboratory of Software Development Environment, Beihang University, China; School of Cyber Science and Technology, Sun Yat-sen University, Shenzhen, China; State Key Laboratory of Information Security, IIE, CAS, Beijing, China
Conference: nips 2021 (main track)
Keywords: Graph Neural Networks;over-smoothing issue;networks with heterophily
Decision: Poster
Title: Mixture weights optimisation for Alpha-Divergence Variational Inference
Authors: Kamélia Daudel, randal douc
Affiliations: LTCI, Télécom Paris, Institut Polytechnique de Paris, France; Department of Statistics, University of Oxford, United Kingdom; SAMOV AR, Télécom SudParis, Institut Polytechnique de Paris, France
Conference: nips 2021 (main track)
Keywords: Variational Inference;Alpha-divergence;Mixture Models;Entropic Mirror Descent;R\'{e}nyi's Alpha-divergence
Decision: Poster