hunoutl/paperlists huggingface dataset:
Title: Algorithmic Instabilities of Accelerated Gradient Descent
Authors: Amit Attia, Tomer Koren
Affiliations: Blavatnik School of Computer Science, Tel Aviv University, Google Research; Blavatnik School of Computer Science, Tel Aviv University
Conference: nips 2021 (main track)
Keywords: Accelerated Gradient Descent;Nesterov Acceleration;Algorithmic Stability;Uniform Stability;Convex Optimization
Decision: Poster
Title: Instance-Dependent Partial Label Learning
Authors: Ning Xu, Congyu Qiao, Xin Geng, Min-Ling Zhang
Affiliations: School of Computer Science and Engineering, Southeast University, Nanjing 210096, China; MOE Key Laboratory of Computer Network and Information Integration, Ministry of Education, China; School of Computer Science and Engineering, Southeast University, Nanjing 210096, China
Conference: nips 2021 (main track)
Keywords: partial label learning;label enhancement;label distribution;pseudo label
Decision: Spotlight
Title: Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation
Authors: Emmanuel Bengio, Moksh Jain, Maksym Korablyov, Doina Precup, Yoshua Bengio
Affiliations: Mila, Microsoft; Mila, McGill University; Mila, Université de Montréal; Mila, McGill University, DeepMind; Mila
Conference: nips 2021 (main track)
Keywords: sequential generative model;temporal difference;diversity;molecules
Decision: Poster
Title: A Provably Efficient Sample Collection Strategy for Reinforcement Learning
Authors: Jean Tarbouriech, Matteo Pirotta, Michal Valko, Alessandro Lazaric
Affiliations: DeepMind Paris; Facebook AI Research Paris; Facebook AI Research Paris & Inria Lille
Conference: nips 2021 (main track)
Keywords: exploration;sample complexity;Markov decision process;reinforcement learning
Decision: Spotlight
Title: Neural Analysis and Synthesis: Reconstructing Speech from Self-Supervised Representations
Affiliations: Supertone Inc.; MARG, Department of Intelligence and Information, Seoul National University; GSAI; AIIS; Supertone Inc.; MARG, Department of Intelligence and Information, Seoul National University; Supertone Inc.
Conference: nips 2021 (main track)
Keywords: speech analysis;speech synthesis;voice conversion;self-supervised;information perturbation
Decision: Poster
Title: Passive attention in artificial neural networks predicts human visual selectivity
Authors: Thomas Langlois, Haicheng Zhao, Erin Grant, Ishita Dasgupta, Tom Griffiths, Nori Jacoby
Affiliations: Department of Psychology, Princeton University; Computational Auditory Perception Research Group, Max Planck Institute for Empirical Aesthetics; Department of Computer Science, Princeton University; Computational Auditory Perception Research Group, Max Planck Institute for Empirical Aesthetics; DeepMind, New York; Department of Electrical Engineering and Computer Sciences, UC Berkeley
Conference: nips 2021 (main track)
Keywords: Cognition;Attention;Interpretable AI;Computer Vision;Human Visual Perception
Decision: Oral
Title: Kernel Identification Through Transformers
Authors: Fergus Simpson, Ian Davies, Vidhi Lalchand, Alessandro Vullo, Nicolas Durrande, Carl Edward Rasmussen
Affiliations: University of Cambridge, Cambridge, UK; Secondmind, Cambridge, UK; InstaDeep, London, UK
Conference: nips 2021 (main track)
Keywords: Gaussian Processes;kernel design;Bayesian model selection;deep learning
Decision: Poster
Title: Learning curves of generic features maps for realistic datasets with a teacher-student model
Authors: Bruno Loureiro, Cedric Gerbelot, Hugo Cui, Sebastian Goldt, Florent Krzakala, Marc Mezard, Lenka Zdeborová
Affiliations: SPOC, EPFL, Lausanne; SISSA, Trieste; Lab. de Physique de l’École Normale Supérieure, Paris; IdePHICS, EPFL, Lausanne; École Normale Supérieure, Paris
Conference: nips 2021 (main track)
Keywords: Statistical Physics;Teacher-Student;Replica method;High-dimensional statistics;Gordon comparison theorem;Kernel Methods
Decision: Poster
Title: Sampling with Trusthworthy Constraints: A Variational Gradient Framework
Authors: Xingchao Liu, Xin Tong, Qiang Liu
Affiliations: Department of Computer Science, University of Texas at Austin; Department of Mathematics, National University of Singapore
Conference: nips 2021 (main track)
Keywords: Trustworthy Machine Learning;Sampling;Bayesian Inference
Decision: Poster
Title: Balanced Chamfer Distance as a Comprehensive Metric for Point Cloud Completion
Authors: Tong Wu, Liang Pan, Junzhe Zhang, Tai WANG, Ziwei Liu, Dahua Lin
Affiliations: S-Lab, Nanyang Technological University, SenseTime Research; SenseTime-CUHK Joint Lab, The Chinese University of Hong Kong, Shanghai AI Laboratory, Centre of Perceptual and Interactive Intelligence; SenseTime-CUHK Joint Lab, The Chinese University of Hong Kong; S-Lab, Nanyang Technological University; SenseTime-CUHK Joint Lab, The Chinese University of Hong Kong, Shanghai AI Laboratory
Conference: nips 2021 (main track)
Keywords: Point Cloud Completion;Similarity Metrics
Decision: Poster
Title: On the Periodic Behavior of Neural Network Training with Batch Normalization and Weight Decay
Authors: Ekaterina Lobacheva, Maxim Kodryan, Nadezhda Chirkova, Andrey Malinin, Dmitry Vetrov
Affiliations: HSE University; HSE University, Yandex; HSE University, AIRI
Conference: nips 2021 (main track)
Keywords: neural network training;batch normalization;weight decay
Decision: Poster
Title: Near-optimal Offline and Streaming Algorithms for Learning Non-Linear Dynamical Systems
Authors: Suhas Kowshik, Dheeraj Nagaraj, Prateek Jain, Praneeth Netrapalli
Affiliations: Google AI Research Lab, Bengaluru, India 560016; Department of EECS, MIT, Cambridge, MA 02139
Conference: nips 2021 (main track)
Keywords: Non-Linear Dynamical Systems;Learning with Dependent Data;Streaming Algorithms;Experience Replay
Decision: Spotlight
Title: Efficient Active Learning for Gaussian Process Classification by Error Reduction
Authors: Guang Zhao, Edward Dougherty, Byung-Jun Yoon, Francis Alexander, Xiaoning Qian
Affiliations: Computational Science Initiative, Brookhaven National Laboratory, Upton, NY 11973, USA; Department of Electrical & Computer Engineering, Texas A&M University, College Station, TX 77843, USA; Department of Computer Science & Engineering, Texas A&M University, College Station, TX 77843, USA; Computational Science Initiative, Brookhaven National Laboratory, Upton, NY 11973, USA; Department of Electrical & Computer Engineering, Texas A&M University, College Station, TX 77843, USA; Computational Science Initiative, Brookhaven National Laboratory, Upton, NY 11973, USA; Department of Electrical & Computer Engineering, Texas A&M University, College Station, TX 77843, USA
Conference: nips 2021 (main track)
Keywords: Bayesian Active Learning;Gaussian Process Classification;Expected Error Reduction;Query Synthesis
Decision: Poster
Title: Bootstrap Your Object Detector via Mixed Training
Authors: Mengde Xu, Zheng Zhang, Fangyun Wei, Yutong Lin, Yue Cao, Stephen Lin, Han Hu, Xiang Bai
Affiliations: Microsoft Research Asia; Huazhong University of Science and Technology; Xi’an Jiaotong University
Conference: nips 2021 (main track)
Keywords: object detection
Decision: Spotlight
Title: Efficient Combination of Rematerialization and Offloading for Training DNNs
Authors: Olivier Beaumont, Lionel Eyraud-Dubois, Alena Shilova
Affiliations: Inria Bordeaux
Conference: nips 2021 (main track)
Keywords: combinatorial optimization algorithms;dynamic programming;rematerialization;offloading;checkpointing;memory constraint;training;deep neural networks;feed forward backpropagation training
Decision: Poster
Title: Regularized Softmax Deep Multi-Agent Q-Learning
Authors: Ling Pan, Tabish Rashid, Bei Peng, Longbo Huang, Shimon Whiteson
Affiliations: University of Oxford; University of Liverpool; Institute for Interdisciplinary Information Sciences, Tsinghua University
Conference: nips 2021 (main track)
Keywords: Multi-Agent Reinforcement Learning;MARL;Value Factorization;Overestimation
Decision: Poster
Title: Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation
Authors: Divyansh Jhunjhunwala, Ankur Mallick, Advait Gadhikar, Swanand Kadhe, Gauri Joshi
Affiliations: University of California Berkeley, Berkeley, CA 94720; Carnegie Mellon University, Pittsburgh, PA 15213
Conference: nips 2021 (main track)
Keywords: Communication-Efficient Mean Estimation;Vector Sparsification;Distributed Optimization
Decision: Poster
Title: Adversarial Examples in Multi-Layer Random ReLU Networks
Authors: Peter Bartlett, Sebastien Bubeck, Yeshwanth Cherapanamjeri
Affiliations: Department of Electrical Engineering and Computer Science, Department of Statistics, UC Berkeley; Department of Electrical Engineering and Computer Science, UC Berkeley; Microsoft Research Redmond
Conference: nips 2021 (main track)
Keywords: Adversarial examples;deep ReLU networks;theory
Decision: Poster
Title: Oracle-Efficient Regret Minimization in Factored MDPs with Unknown Structure
Authors: Aviv Rosenberg, Yishay Mansour
Affiliations: Tel-Aviv University and Google Research, Tel Aviv; Tel-Aviv University
Conference: nips 2021 (main track)
Keywords: regret minimization;factored MDP;online learning;reinforcement learning theory;reinforcement learning;learning theory
Decision: Poster
Title: Unsupervised Representation Transfer for Small Networks: I Believe I Can Distill On-the-Fly
Authors: Hee Min Choi, Hyoa Kang, Dokwan Oh
Affiliations: Samsung Advanced Institute of Technology, Suwon, South Korea
Conference: nips 2021 (main track)
Keywords: Representation learning;knowledge distillation;unsupervised learning
Decision: Poster
Title: Scheduling jobs with stochastic holding costs
Authors: Dabeen Lee, Milan Vojnovic
Affiliations: Department of Statistics, London School of Economics, London, United Kingdom; Discrete Mathematics Group, Institute for Basic Science (IBS), Daejeon, South Korea
Conference: nips 2021 (main track)
Keywords: scheduling;stochastic holding costs;scheduling while learning;$c\mu$ rule;empirical $c\mu$ rule
Decision: Poster
Title: Consistent Estimation for PCA and Sparse Regression with Oblivious Outliers
Authors: Tommaso d'Orsi, Chih-Hung Liu, Rajai Nasser, Gleb Novikov, David Steurer, Stefan Tiegel
Affiliations: ETH Zürich, Zürich, Switzerland
Conference: nips 2021 (main track)
Keywords: Consistent Estimation;Robust Optimization;Oblivious Outliers;Principal Component Analysis;Sparse Regression.
Decision: Poster
Title: RMM: Reinforced Memory Management for Class-Incremental Learning
Authors: Yaoyao Liu, Bernt Schiele, Qianru Sun
Affiliations: Max Planck Institute for Informatics, Saarland Informatics Campus; School of Computing and Information Systems, Singapore Management University
Conference: nips 2021 (main track)
Keywords: incremental learning;class-incremental learning;reinforcement learning
Decision: Poster
Title: Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception
Authors: Joel Dapello, Jenelle Feather, Hang Le, Tiago Marques, David Cox, Josh McDermott, James J DiCarlo, Sueyeon Chung
Affiliations: Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology; MIT-IBM Watson AI Lab; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology; Center for Theoretical Neuroscience, Columbia University; Zuckerman Institute, Columbia Univeristy; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology; Center for Brains, Minds and Machines, Massachusetts Institute of Technology; Speech and Hearing Bioscience and Technology, Harvard University; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology; Center for Brains, Minds and Machines, Massachusetts Institute of Technology; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology; School of Engineering and Applied Sciences, Harvard University
Conference: nips 2021 (main track)
Keywords: Representational Geometry;Biologically inspired vision models;Biologically inspired auditory models;Stochasticity;Adversarial robustness;Robust perception
Decision: Poster
Title: Learning rule influences recurrent network representations but not attractor structure in decision-making tasks
Authors: Brandon McMahan, Michael Kleinman, Jonathan Kao
Affiliations: Department of Electrical and Computer Engineering, University of California, Los Angeles
Conference: nips 2021 (main track)
Keywords: RNN;learning rules;hyperparameters;RNN dynamics;decision-making;computational neuroscience;interpretability;biological models
Decision: Poster
Title: Newton-LESS: Sparsification without Trade-offs for the Sketched Newton Update
Authors: Michal Derezinski, Jonathan Lacotte, Mert Pilanci, Michael Mahoney
Affiliations: Department of Statistics, University of California, Berkeley; Department of Electrical Engineering, Stanford University; ICSI and Department of Statistics, University of California, Berkeley
Conference: nips 2021 (main track)
Keywords: Second-order methods;Newton Sketch;Optimization;Random Matrix Theory;Least Squares
Decision: Spotlight
Title: Absolute Neighbour Difference based Correlation Test for Detecting Heteroscedastic Relationships
Authors: Lifeng Zhang
Affiliations: School of Information, Renmin University of China, 59, Zhongguancun street, Haidian, Beijing, P.R.China 100872
Conference: nips 2021 (main track)
Keywords: association measure;heteroscedasticity;nonfunctional dependence
Decision: Poster
Title: Equilibrium and non-Equilibrium regimes in the learning of Restricted Boltzmann Machines
Authors: Aurélien Decelle, Cyril Furtlehner, Beatriz Seoane
Affiliations: Departamento de F ´ısica T ´eorica, Universidad Complutense, 28040 Madrid, Spain; Universit ´e Paris-Saclay, CNRS, INRIA Tau team, LISN, 91190, Gif-sur-Yvette, France.; Universit ´e Paris-Saclay, CNRS, INRIA Tau team, LISN, 91190, Gif-sur-Yvette, France.; Departamento de F ´ısica T ´eorica, Universidad Complutense, 28040 Madrid, Spain.
Conference: nips 2021 (main track)
Keywords: Restricted Boltzmann Machine;Out of Equilibrium;Monte Carlo mixing time;Unsupervised learning;Energy Based Model;Disordered Systems
Decision: Poster
Title: Decentralized Learning in Online Queuing Systems
Authors: Flore Sentenac, Etienne Boursier, Vianney Perchet
Affiliations: Centre Borelli, ENS Paris-Saclay, France; CREST, ENSAE Paris, Palaiseau, France; CREST, ENSAE Paris, Palaiseau, France; CRITEO AI Lab, Paris, France
Conference: nips 2021 (main track)
Keywords: Queuing systems;Decentralized Learning;Multi-armed Bandits
Decision: Spotlight
Title: Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition
Authors: Lucas Liebenwein, Alaa Maalouf, Dan Feldman, Daniela Rus
Affiliations: MIT CSAIL; University of Haifa
Conference: nips 2021 (main track)
Keywords: neural networks;compression;low-rank decomposition;matrix factorization;pruning
Decision: Poster
Title: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer
Authors: Ge Yang, Edward Hu, Igor Babuschkin, Szymon Sidor, Xiaodong Liu, David Farhi, Nick Ryder, Jakub Pachocki, Weizhu Chen, Jianfeng Gao
Affiliations: OpenAI; Microsoft Corporation
Conference: nips 2021 (main track)
Keywords: hyperparameter tuning;scaling law;transformer;language model pretraining;infinite-width neural networks
Decision: Poster
Title: SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving
Affiliations: Sun Yat-Sen University; Huawei Noah’s Ark Lab; Hong Kong University of Science and Technology; The Chinese University of Hong Kong
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: autonomous driving;object detection;dataset;benchmark;self-supervised learning;semi-supervised learning
Decision: Poster
Title: Breaking the Dilemma of Medical Image-to-image Translation
Authors: Lingke Kong, Chenyu Lian, Detian Huang, zhenjiang li, Yanle Hu, Qichao Zhou
Affiliations: Mayo Clinic Arizona; Xiamen University; Huaqiao University; Manteia Tech; Shandong University
Conference: nips 2021 (main track)
Keywords: Image-to-image Translation
Decision: Spotlight
Title: Last-iterate Convergence in Extensive-Form Games
Authors: Chung-Wei Lee, Christian Kroer, Haipeng Luo
Affiliations: University of Southern California; Columbia University
Conference: nips 2021 (main track)
Keywords: last-iterate convergence;optimistic algorithms;extensive-form games;no-regret learning;two-player zero-sum games;online learning;game dynamics
Decision: Poster
Title: Wisdom of the Crowd Voting: Truthful Aggregation of Voter Information and Preferences
Authors: Grant Schoenebeck, Biaoshuai Tao
Affiliations: John Hopcroft Center for Computer Science, Shanghai Jiao Tong University; School of Information, University of Michigan
Conference: nips 2021 (main track)
Keywords: information aggregation;social choice;mechanism design
Decision: Poster
Title: RIM: Reliable Influence-based Active Learning on Graphs
Authors: Wentao Zhang, Yexin Wang, Zhenbang You, Meng Cao, Ping Huang, Jiulong Shan, Zhi Yang, Bin CUI
Affiliations: School of CS, Peking University; National Engineering Laboratory for Big Data Analysis and Applications; Institute of Computational Social Science, Peking University (Qingdao), China; School of CS, Peking University; Apple; School of CS, Peking University; National Engineering Laboratory for Big Data Analysis and Applications
Conference: nips 2021 (main track)
Keywords: Active Learning;Graph;Label Noise;Social Influence Maximization
Decision: Spotlight
Title: Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark
Authors: Alexander Korotin, Lingxiao Li, Aude Genevay, Justin Solomon, Alexander Filippov, Evgeny Burnaev
Affiliations: Skolkovo Institute of Science and Technology, Artiﬁcial Intelligence Research Institute, Moscow, Russia; Massachusetts Institute of Technology, Cambridge, Massachusetts, USA; Huawei Noah’s Ark Lab, Moscow, Russia
Conference: nips 2021 (main track)
Keywords: optimal transport solvers;benchmark;continuous measures;quadratic cost;wasserstein-2 distance;parametric methods;input-convex neural networks;generative modeling
Decision: Poster
Title: RL for Latent MDPs: Regret Guarantees and a Lower Bound
Authors: Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor
Affiliations: Technion, NVIDIA; The University of Texas at Austin; Microsoft Research, NYC
Conference: nips 2021 (main track)
Keywords: Reinforcement Learning;Partially Observable;Latent Variable;Lower Bound;Upper Confidence Bound;Expectation-Maximization;Predictive State Representation
Decision: Spotlight
Title: Celebrating Diversity in Shared Multi-Agent Reinforcement Learning
Authors: Chenghao Li, Tonghan Wang, Chengjie Wu, Qianchuan Zhao, Jun Yang, Chongjie Zhang
Affiliations: Tsinghua University
Conference: nips 2021 (main track)
Keywords: Multi-Agent Reinforcement Learning;Diverse Behaviors;Partial Parameter Sharing
Decision: Poster
Title: When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting
Authors: Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodriguez, Chao Zhang, B. Aditya Prakash
Affiliations: College of Computing, Georgia Institute of Technology
Conference: nips 2021 (main track)
Keywords: Epidemic Forecasting;Uncertainty Quantification;Time-Series forecasting;Deep Probabilistic Models
Decision: Poster
Title: MERLOT: Multimodal Neural Script Knowledge Models
Authors: Rowan Zellers, Ximing Lu, Jack Hessel, Youngjae Yu, Jae Sung Park, Jize Cao, Ali Farhadi, Yejin Choi
Affiliations: Allen Institute for Artiﬁcial Intelligence; Paul G. Allen School of Computer Science & Engineering, University of Washington
Conference: nips 2021 (main track)
Keywords: commonsense reasoning;representation learning;vision and language
Decision: Oral
Title: Automatic Construction of Evaluation Suites for Natural Language Generation Datasets
Affiliations: Tilburg University; Amelia Science, IPsoft R&D; Carnegie Mellon University; Universitat Pompeu Fabra; trivago N.V.; Google Research; University of Edinburgh
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: natural language processing;natural language generation;benchmark construction;evaluation
Decision: Poster
Title: Beyond Value-Function Gaps: Improved Instance-Dependent Regret Bounds for Episodic Reinforcement Learning
Authors: Christoph Dann, Teodor Vanislavov Marinov, Mehryar Mohri, Julian Zimmert
Affiliations: Courant Institute and Google Research; Google Research
Conference: nips 2021 (main track)
Keywords: reinforcement learning;MDP;rl;instance-dependent regret bounds;theory;regret;gap-dependent
Decision: Spotlight
Title: Joint Modeling of Visual Objects and Relations for Scene Graph Generation
Authors: Minghao Xu, Meng Qu, Bingbing Ni, Jian Tang
Affiliations: Mila - Québec AI Institute, University of Montréal; Mila - Québec AI Institute, HEC Montréal, CIFAR AI Research Chair; Shanghai Jiao Tong University, Shanghai 200240, China
Conference: nips 2021 (main track)
Keywords: Scene Graph Generation;Conditional Random Field;Mean-field Variational Inference
Decision: Poster
Title: Physion: Evaluating Physical Prediction from Vision in Humans and Machines
Affiliations: Department of Cognitive Science, Psychology, UC San Diego, CA 92093; Department of Brain and Cognitive Sciences and CBMM, MIT, Cambridge, MA 02139; Department of Psychology, Electrical Engineering, and Computer Science, Wu Tsai Neurosciences Institute, Stanford, CA 94305
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: physical understanding;scene understanding;intuitive physics;robotics;vision;cognitive science
Decision: Poster
Title: NovelD: A Simple yet Effective Exploration Criterion
Authors: Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph Gonzalez, Yuandong Tian
Affiliations: Facebook AI Research; University of California, Berkeley; University of California, San Diego; Tsinghua University
Conference: nips 2021 (main track)
Keywords: RL;Exploration
Decision: Poster
Title: Disentangled Contrastive Learning on Graphs
Authors: Haoyang Li, Xin Wang, Ziwei Zhang, Zehuan Yuan, Hang Li, Wenwu Zhu
Affiliations: Bytedance; Tsinghua University
Conference: nips 2021 (main track)
Keywords: Graph Neural Network;Contrastive Learning;Self-supervised Learning;Disentangled Representation Learning
Decision: Poster
Title: Matrix encoding networks for neural combinatorial optimization
Authors: Yeong-Dae Kwon, Jinho Choo, Iljoo Yoon, Minah Park, Duwon Park, Youngjune Gwon
Affiliations: Samsung SDS
Conference: nips 2021 (main track)
Keywords: combinatorial optimization;reinforcement learning;POMO;matrix encoding;traveling salesman problem;flow shop problem
Decision: Poster
Title: TöRF: Time-of-Flight Radiance Fields for Dynamic Scene View Synthesis
Authors: Benjamin Attal, Eliot Laidlaw, Aaron Gokaslan, Changil Kim, Christian Richardt, James Tompkin, Matthew O'Toole
Affiliations: Brown University; Carnegie Mellon University; University of Bath; Facebook; Cornell University
Conference: nips 2021 (main track)
Keywords: View Synthesis;Reconstruction;Computational Imaging
Decision: Poster
Title: Environment Generation for Zero-Shot Compositional Reinforcement Learning
Authors: Izzeddin Gur, Natasha Jaques, Yingjie Miao, Jongwook Choi, Manoj Tiwari, Honglak Lee, Aleksandra Faust
Affiliations: University of Michigan; Google Research, Brain Team
Conference: nips 2021 (main track)
Keywords: Adversarial Environment Generation;Compositional Reinforcement Learning;Minimax Regret Adversary;Auto Curriculum
Decision: Poster
Title: Risk Bounds for Over-parameterized Maximum Margin Classification on Sub-Gaussian Mixtures
Authors: Yuan Cao, Quanquan Gu, Mikhail Belkin
Affiliations: Department of Computer Science, University of California, Los Angeles, Los Angeles, CA 90095, USA; Department of Statistics & Actuarial Science, Department of Mathematics, The University of Hong Kong; Halicioglu Data Science Institute, University of California San Diego, La Jolla, CA 92093, USA
Conference: nips 2021 (main track)
Keywords: maximum margin classification;over-parameterization;benign overfitting
Decision: Poster