NeurIPS 2020: all accepted papers
- Untangling tradeoffs between recurrence and self-attention in artificial neural networks ↗Giancarlo Kerg, Bhargav Kanuparthi, Anirudh Goyal et al.6 citations
- A Tight Lower Bound and Efficient Reduction for Swap Regret ↗Shinji Ito5 citations
- Adversarial Example Games ↗Avishek Joey Bose, Gauthier Gidel, Hugo Berard et al.5 citations
- Approximate Heavily-Constrained Learning with Lagrange Multiplier Models ↗Harikrishna Narasimhan, Andrew Cotter, Yichen Zhou et al.5 citations
- Debiasing Averaged Stochastic Gradient Descent to handle missing values ↗Aude Sportisse, Claire Boyer, Aymeric Dieuleveut et al.5 citations
- Dense Correspondences between Human Bodies via Learning Transformation Synchronization on Graphs ↗Xiangru Huang, Haitao Yang, Etienne Vouga et al.5 citations
- High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization ↗Qing Feng, Benjamin Letham, Hongzi Mao et al.5 citations
- Learning Disentangled Representations and Group Structure of Dynamical Environments ↗Robin Quessard, Thomas D. Barrett, William R. Clements5 citations
- Minibatch Stochastic Approximate Proximal Point Methods ↗Hilal Asi, Karan N. Chadha, Gary Cheng et al.5 citations
- On the universality of deep learning ↗Emmanuel A. Abbe, Colin Sandon5 citations
- PLANS: Neuro-Symbolic Program Learning from Videos ↗Raphaël Dang-Nhu5 citations
- Sequential Bayesian Experimental Design with Variable Cost Structure ↗Sue Zheng, David S. Hayden, Jason Pacheco et al.5 citations
- When Counterpoint Meets Chinese Folk Melodies ↗Nan Jiang, Sheng Jin, Zhiyao Duan et al.5 citations
- A Unified Switching System Perspective and Convergence Analysis of Q-Learning Algorithms ↗Donghwan Lee, Niao He4 citations
- Belief-Dependent Macro-Action Discovery in POMDPs using the Value of Information ↗Genevieve Flaspohler, Nicholas Roy, John Sheridan Fisher4 citations
- Coded Sequential Matrix Multiplication For Straggler Mitigation ↗Nikhil Krishnan Muralee Krishnan, Seyederfan Hosseini, Ashish J. Khisti4 citations
- Detecting Interactions from Neural Networks via Topological Analysis ↗Zirui Liu, Qingquan Song, Kaixiong Zhou et al.4 citations
- Dynamic Submodular Maximization. ↗Morteza Monemizadeh4 citations
- Learning Agent Representations for Ice Hockey ↗Guiliang Liu, Oliver Schulte, Pascal Poupart et al.4 citations
- Learning to Mutate with Hypergradient Guided Population ↗Zhiqiang Tao, Yaliang Li, Bolin Ding et al.4 citations
- Learning to Select Best Forecast Tasks for Clinical Outcome Prediction ↗Yuan Xue, Nan Du, Anne Mottram et al.4 citations
- Offline Imitation Learning with a Misspecified Simulator ↗Shengyi Jiang, Jing-Cheng Pang, Yang Yu4 citations
- Online Convex Optimization Over Erdos-Renyi Random Networks ↗Jinlong Lei, Peng Yi, Yiguang Hong et al.4 citations
- Profile Entropy: A Fundamental Measure for the Learnability and Compressibility of Distributions ↗Hao Yi, Alon Orlitsky4 citations
- RL Unplugged: A Collection of Benchmarks for Offline Reinforcement Learning. ↗Çağlar Gülçehre, Ziyu Wang, Alexander Novikov et al.4 citations
- Scalable Belief Propagation via Relaxed Scheduling ↗Vitaly Aksenov, Dan Alistarh, Janne H. Korhonen4 citations
- Sharp uniform convergence bounds through empirical centralization ↗Cyrus Cousins, Matteo Riondato4 citations
- Smoothly Bounding User Contributions in Differential Privacy ↗Alessandro Epasto, Mohammad Mahdian, Jieming Mao et al.4 citations
- Trading personalization for accuracy: Data debugging in collaborative filtering ↗Long Chen, Yuan Yao, Feng Xu et al.4 citations
- Training Linear Finite-State Machines. ↗Arash Ardakani, Amir Ardakani, Warren J. Gross4 citations
- Understanding Deep Architecture with Reasoning Layer ↗Xinshi Chen, Yufei Zhang, Christoph Reisinger et al.4 citations
- A Simple and Efficient Smoothing Method for Faster Optimization and Local Exploration ↗Kevin Scaman, Ludovic Dos Santos, Merwan Barlier et al.3 citations
- A convex optimization formulation for multivariate regression ↗Yunzhang Zhu3 citations
- Batched Coarse Ranking in Multi-Armed Bandits ↗Nikolai Karpov, Qin Zhang3 citations
- Baxter Permutation Process ↗Masahiro Nakano, Akisato Kimura, Takeshi Yamada et al.3 citations
- Bidirectional Convolutional Poisson Gamma Dynamical Systems ↗wenchao chen, Chaojie Wang, Bo Chen et al.3 citations
- Biological credit assignment through dynamic inversion of feedforward networks ↗Bill Podlaski, Christian K. Machens3 citations
- Characterizing emergent representations in a space of candidate learning rules for deep networks ↗Yinan Cao, Christopher Summerfield, Andrew Saxe3 citations
- Classification Under Misspecification: Halfspaces, Generalized Linear Models, and Evolvability ↗Sitan Chen, Frederic Koehler, Ankur Moitra et al.3 citations
- Content Provider Dynamics and Coordination in Recommendation Ecosystems ↗Omer Ben-Porat, Itay Rosenberg, Moshe Tennenholtz3 citations
- Equivariant Networks for Hierarchical Structures ↗Renhao Wang, Marjan Albooyeh, Siamak Ravanbakhsh3 citations
- Estimation of Skill Distribution from a Tournament ↗Ali Jadbabaie, Anuran Makur, Devavrat Shah3 citations
- Finding Second-Order Stationary Points Efficiently in Smooth Nonconvex Linearly Constrained Optimization Problems ↗Songtao Lu, Meisam Razaviyayn, Bo Yang et al.3 citations
- General Transportability of Soft Interventions: Completeness Results ↗Juan D. Correa, Elias Bareinboim3 citations
- Group Contextual Encoding for 3D Point Clouds ↗Xu Liu, Chengtao Li, Jian Wang et al.3 citations
- Hierarchical Granularity Transfer Learning ↗Shaobo Min, Hongtao Xie, Hantao Yao et al.3 citations
- Improved Algorithms for Online Submodular Maximization via First-order Regret Bounds ↗Nicholas J. A. Harvey, Christopher Liaw, Tasuku Soma3 citations
- Improving Sparse Vector Technique with Renyi Differential Privacy. ↗Yuqing Zhu, Yu-Xiang Wang3 citations
- Learning Mutational Semantics ↗Brian Hie, Ellen D. Zhong, Bryan D. Bryson et al.3 citations
- Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms ↗Anant Raj, Xian Wu, Guy Bresler et al.3 citations
- On the Convergence of Smooth Regularized Approximate Value Iteration Schemes ↗Elena Smirnova, Elvis Dohmatob3 citations
- Planning with General Objective Functions: Going Beyond Total Rewards ↗Ruosong Wang, Peilin Zhong, Simon S. Du et al.3 citations
- Promoting Stochasticity for Expressive Policies via a Simple and Efficient Regularization Method. ↗Qi Zhou, Yufei Kuang, Zherui Qiu et al.3 citations
- Proximity Operator of the Matrix Perspective Function and its Applications ↗Joong‐Ho Won3 citations
- RD²: Reward Decomposition with Representation Decomposition ↗Zichuan Lin, Derek Yang, Zhao Li et al.3 citations
- The Implications of Local Correlation on Learning Some Deep Functions ↗Eran Malach, Shai Shalev‐Shwartz3 citations
- A Novel Approach for Constrained Optimization in Graphical Models ↗Sara Rouhani, Tahrima Rahman, Vibhav Gogate2 citations
- A Single Recipe for Online Submodular Maximization with Adversarial or Stochastic Constraints ↗Omid Sadeghi, Prasanna Sanjay Raut, Maryam Fazel2 citations
- Accelerating Reinforcement Learning Through GPU Atari Emulation ↗Steven Dalton, Iuri Frosio2 citations
- Adaptive Probing Policies for Shortest Path Routing ↗Aditya Bhaskara, Sreenivas Gollapudi, Kostas Kollias et al.2 citations
- Analytical Probability Distributions and Exact Expectation-Maximization for Deep Generative Networks ↗Randall Balestriero, Sébastien Paris, Richard G. Baraniuk2 citations
- Annotating Automotive Radar efficiently: Semantic Radar Labeling Framework (SeRaLF) ↗Simon T. Isele, Marcel P. Schilling, Fabian E. Klein et al.2 citations
- Axioms for Learning from Pairwise Comparisons ↗Ritesh Noothigattu, Dominik Peters, Ariel D. Procaccia2 citations
- Better Full-Matrix Regret via Parameter-Free Online Learning ↗Ashok Cutkosky2 citations
- EcoLight: Intersection Control in Developing Regions Under Extreme Budget and Network Constraints ↗Sachin Kumar Chauhan, Kashish Bansal, Rijurekha Sen2 citations
- Faster Randomized Infeasible Interior Point Methods for Tall/Wide Linear Programs ↗Agniva Chowdhury, Palma London, Haim Avron et al.2 citations
- General Control Functions for Causal Effect Estimation from IVs ↗Aahlad Puli, Rajesh Ranganath2 citations
- Gradient Regularized V-Learning for Dynamic Treatment Regimes ↗Yao Zhang, Mihaela van der Schaar2 citations
- Learning Strategic Network Emergence Games ↗Rakshit Trivedi, Hongyuan Zha2 citations
- Minimax Bounds for Generalized Linear Models ↗Kuan-Yun Lee, Thomas A. Courtade2 citations
- Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement ↗Xin Liu, Josh Fromm, Shwetak Patel et al.2 citations
- Network size and size of the weights in memorization with two-layers neural networks ↗Sébastien Bubeck, Ronen Eldan, Yin Tat Lee et al.2 citations
- Ode to an ODE ↗Krzysztof Choromański, Jared Quincy Davis, Valerii Likhosherstov et al.2 citations
- On ranking via sorting by estimated expected utility. ↗Clément Calauzènes, Nicolas Usunier2 citations
- Online MAP Inference of Determinantal Point Processes ↗Aditya Bhaskara, Amin Karbasi, Silvio Lattanzi et al.2 citations
- PAC-Bayes Learning Bounds for Sample-Dependent Priors ↗Pranjal Awasthi, Satyen Kale, Stefani Karp et al.2 citations
- Security Analysis of Safe and Seldonian Reinforcement Learning Algorithms ↗Pınar Özışık, Philip S. Thomas2 citations
- Statistical control for spatio-temporal MEG/EEG source imaging with desparsified mutli-task Lasso ↗Jérôme-Alexis Chevalier, Joseph Salmon, Alexandre Gramfort et al.2 citations
- The Statistical Cost of Robust Kernel Hyperparameter Turning ↗Raphael A. Meyer, Christopher Musco2 citations
- A Bayesian Nonparametrics View into Deep Representations ↗Michał H. Jamróz, Marcin Kurdziel, Mateusz Opala1 citation
- Choice Bandits ↗Arpit Agarwal, Nicholas Johnson, Shivani Agarwal1 citation
- Conic Descent and its Application to Memory-efficient Optimization over Positive Semidefinite Matrices ↗John C. Duchi, Oliver Hinder, A. Naber et al.1 citation
- Consistent Plug-in Classifiers for Complex Objectives and Constraints ↗Shiv Kumar Tavker, Harish G. Ramaswamy, Harikrishna Narasimhan1 citation
- Dynamic Fusion of Eye Movement Data and Verbal Narrations in Knowledge-rich Domains ↗Ervine Zheng, Qi Yu, Rui Li et al.1 citation
- Empirical Likelihood for Contextual Bandits ↗Nikos Karampatziakis, John C. Langford, Paul Mineiro1 citation
- Escaping Saddle-Point Faster under Interpolation-like Conditions ↗Abhishek Ghosh Roy, Krishnakumar Balasubramanian, Saeed Ghadimi et al.1 citation
- Estimating weighted areas under the ROC curve ↗Andreas Maurer, Massimiliano Pontil1 citation
- Explainable Voting ↗Dominik Peters, Ariel D. Procaccia, Alexandros Psomas et al.1 citation
- ImpatientCapsAndRuns: Approximately Optimal Algorithm Configuration from an Infinite Pool ↗Gellért Weisz, András György, Wei-I Lin et al.1 citation
- Inductive Quantum Embedding ↗Santosh Kumar Srivastava, Dinesh Khandelwal, Dhiraj Madan et al.1 citation
- Learning with Operator-valued Kernels in Reproducing Kernel Krein Spaces ↗Akash Saha, Balamurugan Palaniappan1 citation
- Linear Dynamical Systems as a Core Computational Primitive ↗Shiva Kaul1 citation
- One-sample Guided Object Representation Disassembling ↗Zunlei Feng, Yongming He, Xinchao Wang et al.1 citation
- Optimal prediction of the number of unseen species with multiplicity ↗Hao Yi, Ping Li1 citation
- Provably efficient neural GTD algorithm for off-policy learning ↗Hoi To Wai, Zhuoran Yang, Zhaoran Wang et al.1 citation
- RD2: Reward Decomposition with Representation Disentanglement ↗Zichuan Lin, Derek Yang, Li Zhao et al.1 citation
- Ratio Trace Formulation of Wasserstein Discriminant Analysis ↗Hexuan Liu, Yunfeng Cai, You Lin Chen et al.1 citation
- Towards Problem-dependent Optimal Learning Rates ↗Yunbei Xu, Assaf J. Zeevi1 citation
- Understanding and Exploring the Network with Stochastic Architectures ↗Zhijie Deng, Yinpeng Dong, Shifeng Zhang et al.1 citation
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