NeurIPS 2022: all accepted papers
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- Analyzing Lottery Ticket Hypothesis from PAC-Bayesian Theory Perspective ↗Keitaro Sakamoto, Issei Sato1 citation
- Anonymous Bandits for Multi-User Systems ↗Hossein Esfandiari, Vahab Mirrokni, Jon Schneider1 citation
- Approaching Quartic Convergence Rates for Quasi-Stochastic Approximation with Application to Gradient-Free Optimization ↗Caio Kalil Lauand, Sean Meyn1 citation
- Approximate Value Equivalence ↗Christopher Grimm, Andre Barreto, Satinder Pal Singh1 citation
- Approximation with CNNs in Sobolev Space: With Applications to Classification ↗Guohao Shen, Yuling Jiao, Yuanyuan Lin et al.1 citation
- Archimedes Meets Privacy: On Privately Estimating Quantiles in High Dimensions Under Minimal Assumptions ↗Omri Ben‐Eliezer, Dan Mikulincer, Ilias Zadik1 citation
- Are All Frames Equal? Active Sparse Labeling for Video Action Detection ↗Aayush Jung Rana, Yogesh Rawat1 citation
- Are GANs Overkill for NLP? ↗David Alvarez-Melis, Vikas Garg, Adam Tauman Kalai1 citation
- Asymptotic Behaviors of Projected Stochastic Approximation: A Jump Diffusion Perspective ↗Jiadong Liang, Yuze Han, Jiadong Liang et al.1 citation
- Asymptotic Properties for Bayesian Neural Network in Besov Space ↗Kyeongwon Lee, Jaeyong Lee1 citation
- Asymptotically Unbiased Instance-Wise Regularized Partial AUC Optimization: Theory and Algorithm ↗Huiyang Shao, Qianqian Xu, Zhiyong Yang et al.1 citation
- Augmenting Online Algorithms with e-Accurate Predictions ↗Anupam Gupta, Debmalya Panigrahi, Bernardo Subercaseaux et al.1 citation
- AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels ↗Nicholas Roberts, Xintong Li, Tzu-Heng Huang et al.1 citation
- Automatic Differentiation of Nonsmooth Iterative Algorithms ↗Jérôme Bolte, Edouard Pauwels, Samuel Vaiter1 citation
- BLOX: Macro Neural Architecture Search Benchmark and Algorithms ↗Thomas Chau, Łukasz Dudziak, Hongkai Wen et al.1 citation
- BMU-MoCo: Bidirectional Momentum Update for Continual Video-Language Modeling ↗Yizhao Gao, Nanyi Fei, Haoyu Lu et al.1 citation
- Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropagation ↗Ziyu Jiang, Xuxi Chen, Xueqin Huang et al.1 citation
- Batch Size-Invariance for Policy Optimization ↗Jacob Hilton, Karl Cobbe, John Schulman1 citation
- Bayesian Clustering of Neural Spiking Activity Using a Mixture of Dynamic Poisson Factor Analyzers ↗Ganchao Wei, Ian H. Stevenson, Xiaojing Wang1 citation
- Bayesian Persuasion for Algorithmic Recourse ↗Keegan Harris, Valerie Chen, Joon Kim et al.1 citation
- Bessel Equivariant Networks for Inversion of Transmission Effects in Multi-Mode Optical Fibres ↗Joshua Mitton, Simon Peter Mekhail, Miles J. Padgett et al.1 citation
- Between Stochastic and Adversarial Online Convex Optimization: Improved Regret Bounds Via Smoothness ↗Sarah Sachs, Hédi Hadiji, Tim van Erven et al.1 citation
- Beyond Black Box Densities: Parameter Learning for the Deviated Components ↗Dat Do, Nhat Ho, XuanLong Nguyen1 citation
- Beyond IID: Data-Driven Decision-Making in Heterogeneous Environments ↗Omar Besbes, Will Ma, Omar Mouchtaki1 citation
- Beyond Rewards: A Hierarchical Perspective on Offline Multiagent Behavioral Analysis ↗Shayegan Omidshafiei, Andrei Kapishnikov, Yannick Assogba et al.1 citation
- Beyond the Best: Distribution Functional Estimation in Infinite-Armed Bandits ↗Yifei Wang, Tavor Z. Baharav, Yanjun Han et al.1 citation
- Black-Box Coreset Variational Inference ↗Dionysis Manousakas, Hippolyt Ritter, Theofanis Karaletsos1 citation
- Bridging the Gap from Asymmetry Tricks to Decorrelation Principles in Non-Contrastive Self-Supervised Learning ↗Kang-Jun Liu, Masanori Suganuma, Takayuki Okatani1 citation
- Bridging the Gap: Unifying the Training and Evaluation of Neural Network Binary Classifiers ↗Nathan Tsoi, Kate Candon, Deyuan Li et al.1 citation
- Brownian Noise Reduction: Maximizing Privacy Subject to Accuracy Constraints ↗Justin Whitehouse, Aaditya Ramdas, Steven Wu et al.1 citation
- Byzantine-Tolerant Federated Gaussian Process Regression for Streaming Data ↗Xu Zhang, Zhenyuan Yuan, Minghui Zhu1 citation
- CCCP is Frank-Wolfe in Disguise ↗Suvrit Sra, Suvrit Sra1 citation
- CEDe: A Collection of Expert-Curated Datasets with Atom-Level Entity Annotations for Optical Chemical Structure Recognition ↗Rodrigo Hormázabal, Changyoung Park, Soonyoung Lee et al.1 citation
- CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations ↗Kai Yan, Alexander Gerhard Schwing, Yu-Xiong Wang1 citation
- CUP: Critic-Guided Policy Reuse ↗Jin Zhang, Siyuan Li, Chongjie Zhang1 citation
- Causality Preserving Chaotic Transformation and Classification Using Neurochaos Learning ↗Harikrishnan N B, Aditi Kathpalia, Nithin Nagaraj1 citation
- Challenging Common Assumptions in Convex Reinforcement Learning ↗Mirco Mutti, Riccardo De Santi, Piersilvio De Bartolomeis et al.1 citation
- Change Event Dataset for Discovery from Spatio-Temporal Remote Sensing Imagery ↗Utkarsh Mall, Bharath Hariharan, Kavita Bala1 citation
- Characterizing the Ventral Visual Stream with Response-Optimized Neural Encoding Models ↗Meenakshi Khosla, Keith Wakefield Jamison, Amy F. Kuceyeski et al.1 citation
- Chromatic Correlation Clustering, Revisited ↗Qing Xiu, Kai Han, Jing Tang et al.1 citation
- CoPur: Certifiably Robust Collaborative Inference Via Feature Purification ↗Jing Liu, Chulin Xie, Sanmi Koyejo et al.1 citation
- Collaborative Decision Making Using Action Suggestions ↗Dylan M. Asmar, Mykel J. Kochenderfer1 citation
- Collaborative Learning of Discrete Distributions Under Heterogeneity and Communication Constraints ↗Xinmeng Huang, Donghwan Lee, Edgar Dobriban et al.1 citation
- ConfLab: A Data Collection Concept, Dataset, and Benchmark for Machine Analysis of Free-Standing Social Interactions in the Wild ↗Chirag Raman, Jose Vargas Quiros, Stephanie Tan et al.1 citation
- Conformal Frequency Estimation with Sketched Data ↗Matteo Sesia, Stefano Favaro1 citation
- Conservative Dual Policy Optimization for Efficient Model-Based Reinforcement Learning ↗Shenao Zhang1 citation
- Consistent Sufficient Explanations and Minimal Local Rules for Explaining the Decision of Any Classifier Or Regressor ↗Salim I. Amoukou, Nicolas Brunel1 citation
- Context-Based Dynamic Pricing with Partially Linear Demand Model ↗Jinzhi Bu, David Simchi‐Levi, Chonghuan Wang1 citation
- Contextual Bandits with Knapsacks for a Conversion Model ↗Zhen Li, Gilles Stoltz1 citation
- Continuous MDP Homomorphisms and Homomorphic Policy Gradient ↗Sahand Rezaei-Shoshtari, Rosie Zhao, Prakash Panangaden et al.1 citation
- Continuously Tempered PDMP Samplers ↗Matthew Sutton, Robert Salomone, Augustin Chevallier et al.1 citation
- Controllable Text Generation with Neurally-Decomposed Oracle ↗Tao Meng, Sidi Lu, Tao Meng et al.1 citation
- Convexity Certificates from Hessians ↗Julien Klaus, Niklas Merk, Konstantin Wiedom et al.1 citation
- Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics ↗Harsh Rangwani, Shrinivas Ramasubramanian, Sho Takemori et al.1 citation
- Counterfactual Harm ↗Jonathan G. Richens, Rory Beard, Daniel H. Thompson1 citation
- Counterfactual Temporal Point Processes ↗Kimia Noorbakhsh, Manuel Gomez-Rodriguez1 citation
- DaDA: Distortion-Aware Domain Adaptation for Unsupervised Semantic Segmentation ↗Sujin Jang, Joohan Na, Dokwan Oh1 citation
- Dance of SNN and ANN: Solving Binding Problem by Combining Spike Timing and Reconstructive Attention ↗Hao Zheng, Hui Lin, Rong Zhao et al.1 citation
- Data Augmentation for Efficient Learning from Parametric Experts ↗Alexandre Galashov, Josh Merel, Nicolas Heess1 citation
- Data-Driven Offline Decision-Making Via Invariant Representation Learning ↗Han Qi, Yi Su, Aviral Kumar et al.1 citation
- Debugging and Explaining Metric Learning Approaches: An Influence Function Based Perspective ↗Ruofan Liu, Yun Lin, Xianglin Yang et al.1 citation
- Decomposable Non-Smooth Convex Optimization with Nearly-Linear Gradient Oracle Complexity ↗Sally Dong, Haotian Jiang, Yin Tat Lee et al.1 citation
- Decoupling Classifier for Boosting Few-Shot Object Detection and Instance Segmentation ↗Bin-Bin Gao, Xiaochen Chen, Zhongyi Huang et al.1 citation
- Deep Counterfactual Estimation with Categorical Background Variables ↗Edward De Brouwer1 citation
- Defending Against Adversarial Attacks Via Neural Dynamic System ↗Xiyuan Li, Zou Xin, Weiwei Liu1 citation
- Density-Driven Regularization for Out-Of-Distribution Detection ↗Wenjian Huang, Hao Wang, Jiahao Xia et al.1 citation
- Depth is More Powerful than Width with Prediction Concatenation in Deep Forest ↗Shen-Huan Lyu, Yi-Xiao He, Zhi-Hua Zhou1 citation
- Diffusion Curvature for Estimating Local Curvature in High Dimensional Data ↗Dhananjay Bhaskar, Kincaid Macdonald, Oluwadamilola Fasina et al.1 citation
- Discovering and Overcoming Limitations of Noise-Engineered Data-Free Knowledge Distillation ↗Piyush Raikwar, Deepak Mishra1 citation
- Disentangling the Predictive Variance of Deep Ensembles Through the Neural Tangent Kernel ↗Seijin Kobayashi, Pau Vilimelis Aceituno, Johannes von Oswald1 citation
- Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems ↗Miguel Suau, Jinke He, Mustafa Mert Çelikok et al.1 citation
- Distributionally Robust Optimization with Data Geometry ↗Jiashuo Liu, Jiayun Wu, Bo Li et al.1 citation
- Does Momentum Change the Implicit Regularization on Separable Data? ↗Bohan Wang, Qi Meng, Huishuai Zhang et al.1 citation
- Doubly Robust Counterfactual Classification ↗Kwangho Kim, Edward Kennedy, Jose Zubizarreta1 citation
- Doubly-Asynchronous Value Iteration: Making Value Iteration Asynchronous in Actions ↗Tian Tian, Kenny Young, Richard Sutton1 citation
- DropCov: A Simple Yet Effective Method for Improving Deep Architectures ↗Qilong Wang, Mingze Gao, Zhaolin Zhang et al.1 citation
- Dual-Curriculum Contrastive Multi-Instance Learning for Cancer Prognosis Analysis with Whole Slide Images ↗Chao Tu, Yu bao Zhang, Zhenyuan Ning1 citation
- Dynamic Fair Division with Partial Information ↗Gerdus Benadè, Daniel Halpern, Alexandros Psomas1 citation
- Dynamic Learning in Large Matching Markets ↗Anand Kalvit, Assaf J. Zeevi1 citation
- Dynamic Tensor Product Regression ↗Aravind Reddy, Zhao Song, Lichen Zhang1 citation
- E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance ↗Can Chang, Ni Mu, Jiajun Wu et al.1 citation
- ESCADA: Efficient Safety and Context Aware Dose Allocation for Precision Medicine ↗İlker Demirel, Ahmet Alparslan Celik, Cem Tekin1 citation
- ETAB: A Benchmark Suite for Visual Representation Learning in Echocardiography ↗Ahmed M. Alaa, Anthony Philippakis, David A. Sontag1 citation
- Effective Dimension in Bandit Problems Under Censorship ↗Gauthier Guinet, Saurabh Amin, Patrick Jaillet1 citation
- Effects of Data Geometry in Early Deep Learning ↗Saket Tiwari, George Konidaris1 citation
- Efficient Identification of Informative Features in Simulation-Based Inference ↗Jonas Beck, Michael Deistler, Yves Bernaerts et al.1 citation
- Efficient Scheduling of Data Augmentation for Deep Reinforcement Learning ↗Byungchan Ko, Jungseul Ok1 citation
- Efficient Submodular Optimization Under Noise: Local Search is Robust ↗Lingxiao Huang, Yuyi Wang, Chunxue Yang et al.1 citation
- Efficient and Effective Multi-Task Grouping Via Meta Learning on Task Combinations ↗Xiaozhuang Song, Shun Zheng, Wei Cao et al.1 citation
- Efficient and Stable Fully Dynamic Facility Location ↗Sayan Bhattacharya, Silvio Lattanzi, Nikos Parotsidis1 citation
- Efficiently Factorizing Boolean Matrices Using Proximal Gradient Descent ↗Sebastian Dalleiger, Jilles Vreeken1 citation
- Embed and Emulate: Learning to Estimate Parameters of Dynamical Systems with Uncertainty Quantification ↗Ruoxi Jiang, Rebecca Willett1 citation
- Emergence of Hierarchical Layers in a Single Sheet of Self-Organizing Spiking Neurons ↗Paul Bertens, Seong-Whan Lee1 citation
- End-To-End Algorithm Synthesis with Recurrent Networks: Extrapolation Without Overthinking ↗Arpit Bansal, Avi Schwarzschild, Eitan Borgnia et al.1 citation
- Enhanced Meta Reinforcement Learning Via Demonstrations in Sparse Reward Environments ↗Desik Rengarajan, Sapana Chaudhary, Jaewon Kim et al.1 citation
- Estimating Graphical Models for Count Data with Applications to Single-Cell Gene Network ↗Feiyi Xiao, Junjie Tang, Huaying Fang et al.1 citation
- Estimation of Entropy in Constant Space with Improved Sample Complexity ↗Maryam Aliakbarpour, Andrew McGregor, Jelani Nelson et al.1 citation
- Exact Solutions of a Deep Linear Network ↗Botao Li, Botao Li, Xiangming Meng1 citation
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