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NeurIPS 2022: all accepted papers

2,834 papers · page 25 of 29 · the most cited first · ← NeurIPS 2022

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  1. Adaptive Interest for Emphatic Reinforcement Learning ↗Martin Klissarov, Rasool Fakoor, Jonas Mueller et al.
  2. Adaptive Oracle-Efficient Online Learning ↗Guanghui Wang, Zihao Hu, Vidya Muthukumar et al.
  3. Adversarial Reprogramming Revisited ↗Matthias Englert, Ranko Lazić
  4. Adversarial Task Up-Sampling for Meta-Learning ↗Yichen Wu, Long-Kai Huang, Ying Wei
  5. Adversarially Robust Learning: A Generic Minimax Optimal Learner and Characterization ↗Omar Montasser, Steve Hanneke, Nathan Srebro
  6. AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment of Implicit Graph Generators ↗Wenkai Xu, Gesine Reinert
  7. Alleviating "Posterior Collapse” in Deep Topic Models Via Policy Gradient ↗Yewen Li, Chaojie Wang, Zhibin Duan et al.
  8. Alternating Mirror Descent for Constrained Min-Max Games ↗Andre Wibisono, Molei Tao, Georgios Piliouras
  9. Ambiguous Images with Human Judgments for Robust Visual Event Classification ↗Kate Sanders, Reno Kriz, Anqi Liu et al.
  10. Amortized Mixing Coupling Processes for Clustering ↗Huafeng Liu, Liping Jing
  11. An Asymptotically Optimal Batched Algorithm for the Dueling Bandit Problem ↗Arpit Agarwal, Rohan Ghuge, Viswanath Nagarajan
  12. An a-No-Regret Algorithm for Graphical Bilinear Bandits ↗Geovani Rizk, Igor Colin, Albert Thomas et al.
  13. An alpha-Regret Analysis of Adversarial Bilateral Trade ↗Yossi Azar, Amos Fiat, Federico Fusco
  14. Approximate Euclidean Lengths and Distances Beyond Johnson-Lindenstrauss ↗Aleksandros Sobczyk, Mathieu Luisier
  15. Approximate Secular Equations for the Cubic Regularization Subproblem ↗Yihang Gao, Man–Chung Yue, Michael Ng
  16. Assistive Teaching of Motor Control Tasks to Humans ↗Megha Srivastava, Erdem Bıyık, Suvir Mirchandani et al.
  17. Associating Objects and Their Effects in Video Through Coordination Games ↗Erika Lu, Forrester Cole, Weidi Xie et al.
  18. Asymptotics of l2 Regularized Network Embeddings ↗Andrew Davison
  19. AutoMS: Automatic Model Selection for Novelty Detection with Error Rate Control ↗Yifan Zhang, Haiyan Jiang, Haojie Ren et al.
  20. Average Sensitivity of Euclidean k-Clustering ↗Yuichi Yoshida, Shinji Ito
  21. BILCO: An Efficient Algorithm for Joint Alignment of Time Series ↗Xuelong Mi, Mengfan Wang, Alex Chen et al.
  22. Batch Bayesian Optimisation Via Density-Ratio Estimation with Guarantees ↗Rafael Oliveira, Louis C. Tiao, Fabio Tozeto Ramos
  23. Bayesian Inference Via Sparse Hamiltonian Flows ↗Naitong Chen, Zuheng Xu, Trevor Campbell
  24. Bellman Residual Orthogonalization for Offline Reinforcement Learning ↗Andrea Zanette, Martin J. Wainwright
  25. Benefits of Additive Noise in Composing Classes with Bounded Capacity ↗Alireza F. Pour, Hassan Ashtiani
  26. Benign Underfitting of Stochastic Gradient Descent ↗Tomer Koren, Roi Livni, Yishay Mansour et al.
  27. Best of Both Worlds Model Selection ↗Aldo Pacchiano, Christoph Dann, Claudio Gentile
  28. Better SGD Using Second-Order Momentum ↗Hoàng Nhân Trần, Ashok Cutkosky
  29. Beyond Time-Average Convergence: Near-Optimal Uncoupled Online Learning Via Clairvoyant Multiplicative Weights Update ↗Georgios Piliouras, Ryann Sim, Stratis Skoulakis
  30. Beyond the Return: Off-Policy Function Estimation Under User-Specified Error-Measuring Distributions ↗Audrey Huang, Nan Jiang
  31. Bezier Gaussian Processes for Tall and Wide Data ↗Martin Jørgensen, Michael A Osborne
  32. Biological Learning of Irreducible Representations of Commuting Transformations ↗Alexander Genkin, David Lipshutz, Siavash Golkar et al.
  33. Bivariate Causal Discovery for Categorical Data Via Classification with Optimal Label Permutation ↗Yang Ni
  34. Blessing of Depth in Linear Regression: Deeper Models Have Flatter Landscape Around the True Solution ↗Jianhao Ma, Salar Fattahi
  35. Boosting Barely Robust Learners: A New Perspective on Adversarial Robustness ↗Avrim L. Blum, Omar Montasser, Gregory Shakhnarovich et al.
  36. Boosting the Performance of Generic Deep Neural Network Frameworks with Log-Supermodular CRFs ↗Hao Xiong, Yangxiao Lu, Nicholas Ruozzi
  37. Branch & Learn for Recursively and Iteratively Solvable Problems in Predict+Optimize ↗Xinyi Hu, Jasper Lee, Jimmy H. M. Lee et al.
  38. Bring Your Own Algorithm for Optimal Differentially Private Stochastic Minimax Optimization ↗Liang Zhang, Kiran Koshy Thekumparampil, Sewoong Oh et al.
  39. Bringing Image Scene Structure to Video Via Frame-Clip Consistency of Object Tokens ↗Elad Ben Avraham, Roei Herzig, Karttikeya Mangalam et al.
  40. CARLANE: A Lane Detection Benchmark for Unsupervised Domain Adaptation from Simulation to Multiple Real-World Domains ↗Bonifaz Stuhr, Johann Haselberger, Julian Gebele
  41. CHIMLE: Conditional Hierarchical IMLE for Multimodal Conditional Image Synthesis ↗Shichong Peng, Seyed Alireza Moazenipourasil, Ke Li
  42. CLEVRER-Humans: Describing Physical and Causal Events the Human Way ↗Jiayuan Mao, Xuelin Yang, Xikun Zhang et al.
  43. Calibrated Data-Dependent Constraints with Exact Satisfaction Guarantees ↗Songkai Xue, Yuekai Sun, Mikhail Yurochkin
  44. Capturing Graphs with Hypo-Elliptic Diffusions ↗Csaba D. Tóth, Darrick Lee, Celia Hacker et al.
  45. Causally Motivated Multi-Shortcut Identification and Removal ↗Jiayun Zheng, Maggie Makar
  46. Certifying Robust Graph Classification Under Orthogonal Gromov-Wasserstein Threats ↗Hongwei Jin, Zishun Yu, Xinhua Zhang
  47. Change-Point Detection for Sparse and Dense Functional Data in General Dimensions ↗Carlos Misael Madrid Padilla, Daren Wang, Zifeng Zhao et al.
  48. Chaotic Regularization and Heavy-Tailed Limits for Deterministic Gradient Descent ↗Soon Hoe Lim, Yijun Wan, Umut Simsekli
  49. Characterization of Excess Risk for Locally Strongly Convex Population Risk ↗Mingyang Yi, Ruoyu Wang, Zhi-Ming Ma
  50. ComMU: Dataset for Combinatorial Music Generation ↗Hyun Lee, Taehyun Kim, Hyolim Kang et al.
  51. Combinatorial Bandits with Linear Constraints: Beyond Knapsacks and Fairness ↗Qingsong Liu, Weihang Xu, Siwei Wang et al.
  52. Communication Acceleration of Local Gradient Methods Via an Accelerated Primal-Dual Algorithm with an Inexact Prox ↗Abdurakhmon Sadiev, Dmitry Kovalev, Peter Richtárik
  53. Communication-Efficient Distributed Eigenspace Estimation with Arbitrary Node Failures ↗Vasileios Charisopoulos, Anil Damle
  54. Conditional Independence Testing with Heteroskedastic Data and Applications to Causal Discovery ↗Wiebke Günther, Urmi Ninad, Jonas Wahl et al.
  55. Conditional Meta-Learning of Linear Representations ↗Giulia Denevi, Massimiliano Pontil, Carlo Ciliberto
  56. Confident Approximate Policy Iteration for Efficient Local Planning in q(pi)-Realizable MDPs ↗Gellért Weisz, András György, Tadashi Kozuno et al.
  57. Constrained GPI for Zero-Shot Transfer in Reinforcement Learning ↗Gunhee Kim, Seohong Park, Gunhee Kim
  58. Constrained Langevin Algorithms with L-Mixing External Random Variables ↗Yuping Zheng, Andrew Lamperski
  59. Contextual Dynamic Pricing with Unknown Noise: Explore-Then-UCB Strategy and Improved Regrets ↗Yiyun Luo, Will Wei Sun, Yufeng Liu
  60. Continual Learning in Environments with Polynomial Mixing Times ↗Matthew Riemer, Sharath Chandra Raparthy, Ignacio Cases et al.
  61. Continuous Deep Q-Learning in Optimal Control Problems: Normalized Advantage Functions Analysis ↗Anton Romanovich Plaksin, Stepan Martyanov
  62. Convergence Beyond the Over-Parameterized Regime Using Rayleigh Quotients ↗David A. R. Robin, Kevin Scaman, Marc Lelarge
  63. Coordinate Linear Variance Reduction for Generalized Linear Programming ↗Chaobing Song, Cheuk Yin Lin, Stephen J. Wright et al.
  64. Coreset for Line-Sets Clustering ↗Sagi Lotan, Ernesto Evgeniy Sanches Shayda, Dan Feldman
  65. Coresets for Wasserstein Distributionally Robust Optimization Problems ↗Ruomin Huang, Jiawei Huang, Wenjie Liu et al.
  66. Cross-Image Context for Single Image Inpainting ↗Tingliang Feng, Wei Feng, Weiqi Li et al.
  67. DABS 2.0: Improved Datasets and Algorithms for Universal Self-Supervision ↗Alex Tamkin, Gaurab Banerjee, Mohamed Owda et al.
  68. DASCO: Dual-Generator Adversarial Support Constrained Offline Reinforcement Learning ↗Quan Vuong, Aviral Kumar, Sergey Levine et al.
  69. DGD2: A Linearly Convergent Distributed Algorithm for High-Dimensional Statistical Recovery ↗Marie Maros, Gesualdo Scutari
  70. Decentralized, Communication- And Coordination-Free Learning in Structured Matching Markets ↗Chinmay Maheshwari, Shankar Sastry, Eric Mazumdar
  71. Decoupled Self-Supervised Learning for Graphs ↗Teng Xiao, Zhengyu Chen, Zhimeng Guo et al.
  72. DeepFoids: Adaptive Bio-Inspired Fish Simulation with Deep Reinforcement Learning ↗Yuko Ishiwaka, Xiao Zeng, Shun Ogawa et al.
  73. Dense Interspecies Face Embedding ↗Sejong Yang, Subin Jeon, Seonghyeon Nam et al.
  74. Detecting Abrupt Changes in Sequential Pairwise Comparison Data ↗Wanshan Li, Alessandro Rinaldo, Daren Wang
  75. Detection and Localization of Changes in Conditional Distributions ↗Lizhen Nie, Dan Nicolae
  76. DevFly: Bio-Inspired Development of Binary Connections for Locality Preserving Sparse Codes ↗Tianqi Wei, Rana Alkhoury Maroun, Qinghai Guo et al.
  77. DiSC: Differential Spectral Clustering of Features ↗Ram Dyuthi Sristi, Gal Mishne, Ariel Jaffe
  78. Differentially Private Online-To-Batch for Smooth Losses ↗Qinzi Zhang, Hoàng Nhân Trần, Ashok Cutkosky
  79. Discovery of Single Independent Latent Variable ↗Uri Shaham, Jonathan Svirsky, Ori Katz et al.
  80. Distilling Representations from GAN Generator Via Squeeze and Span ↗Yu Yang, Xiaotian Cheng, Chang Liu et al.
  81. Distinguishing Learning Rules with Brain Machine Interfaces ↗Jacob Portes, Christian Schmid, James M. Murray
  82. Distributed Optimization for Overparameterized Problems: Achieving Optimal Dimension Independent Communication Complexity ↗Bingqing Song, Ioannis Tsaknakis, Chung-Yiu Yau et al.
  83. Diversified Recommendations for Agents with Adaptive Preferences ↗William Brown, Arpit Agarwal
  84. Don't Roll the Dice, Ask Twice: The Two-Query Distortion of Matching Problems and Beyond ↗Georgios Amanatidis, Georgios Birmpas, Aris Filos-Ratsikas et al.
  85. Dungeons and Data: A Large-Scale NetHack Dataset ↗Eric Hambro, Roberta Răileanu, Danielle Rothermel et al.
  86. Dynamic Pricing with Monotonicity Constraint Under Unknown Parametric Demand Model ↗Su Jia, Andrew Li, R Ravi
  87. ENS-10: A Dataset for Post-Processing Ensemble Weather Forecasts ↗Saleh Ashkboos, Langwen Huang, Nikoli Dryden et al.
  88. Effectiveness of Vision Transformer for Fast and Accurate Single-Stage Pedestrian Detection ↗Jing Yuan, Panagiotis Barmpoutis, Tania Stathaki
  89. Efficient Learning of Nonlinear Prediction Models with Time-Series Privileged Information ↗Bastian Jung, Fredrik Johansson
  90. Efficient Non-Parametric Optimizer Search for Diverse Tasks ↗Ruochen Wang, Yuanhao Xiong, Minhao Cheng et al.
  91. Efficient Training of Low-Curvature Neural Networks ↗Suraj Srinivas, Kyle Matoba, Himabindu Lakkaraju et al.
  92. Efficient and Near-Optimal Smoothed Online Learning for Generalized Linear Functions ↗Adam Block, Max Simchowitz
  93. ElasticMVS: Learning Elastic Part Representation for Self-Supervised Multi-View Stereopsis ↗Jinzhi Zhang, Ruofan Tang, Zheng Cao et al.
  94. Empirical Gateaux Derivatives for Causal Inference ↗Michael I. Jordan, Yixin Wang, Angela Zhou
  95. Enhanced Latent Space Blind Model for Real Image Denoising Via Alternative Optimization ↗Chao Ren, Yizhong Pan, Jie Huang
  96. Envy-Free Policy Teaching to Multiple Agents ↗Jiarui Gan, R Majumdar, Adish Kumar Singla et al.
  97. Escaping Saddle Points with Bias-Variance Reduced Local Perturbed SGD for Communication Efficient Nonconvex Distributed Learning ↗Tomoya Murata, Taiji Suzuki
  98. Estimating the Arc Length of the Optimal ROC Curve and Lower Bounding the Maximal AUC ↗Song Liu
  99. Evaluating Graph Generative Models with Contrastively Learned Features ↗Hamed Shirzad, Kaveh Hassani, Danica J. Sutherland
  100. Exact Shape Correspondence Via 2D Graph Convolution ↗Barakeel Fanseu Kamhoua, Lin Zhang, Yongqiang Chen et al.

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