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NeurIPS 2022: all accepted papers

2,834 papers · page 27 of 29 · the most cited first · ← NeurIPS 2022

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  1. Local Identifiability of Deep ReLU Neural Networks: The Theory ↗Joachim Bona-Pellissier, François Malgouyres, François Bachoc
  2. Local Linear Convergence of Gradient Methods for Subspace Optimization Via Strict Complementarity ↗Ron Fisher, Dan Garber
  3. Log-Polar Space Convolution Layers ↗Bing Su, Ji-Rong Wen
  4. Logical Activation Functions: Logit-Space Equivalents of Probabilistic Boolean Operators ↗Scott Lowe, Robert C. Earle, Jason d’Eon et al.
  5. Logical Credal Networks ↗Radu Marinescu, Haifeng Qian, Alexander Gray et al.
  6. Lower Bounds on Randomly Preconditioned Lasso Via Robust Sparse Designs ↗Jonathan A. Kelner, Frederic Koehler, Raghu Meka et al.
  7. Luckiness in Multiscale Online Learning ↗Wouter Michiel Koolen, Muriel F. Pérez-Ortiz
  8. MOMA-LRG: Language-Refined Graphs for Multi-Object Multi-Actor Activity Parsing ↗Zelun Luo, Zane Durante, Linden Li et al.
  9. Make an Omelette with Breaking Eggs: Zero-Shot Learning for Novel Attribute Synthesis ↗Yu Hsuan Li, Tzu-Yin Chao, Ching-Chun Huang et al.
  10. Masked Prediction: A Parameter Identifiability View ↗Bingbin Liu, Daniel Hsu, Pradeep Ravikumar et al.
  11. Matching in Multi-Arm Bandit with Collision ↗Yirui Zhang, Siwei Wang, Zhixuan Fang
  12. Matrix Multiplicative Weights Updates in Quantum Zero-Sum Games: Conservation Laws & Recurrence ↗Rahul Jain, Georgios Piliouras, Ryann Sim
  13. Maximizing Revenue Under Market Shrinkage and Market Uncertainty ↗Maria-Florina Balcan, Siddharth Prasad, Tüomas Sandholm
  14. Maximum a Posteriori Natural Scene Reconstruction from Retinal Ganglion Cells with Deep Denoiser Priors ↗Eric G. Wu, Nora Brackbill, Alexander Sher et al.
  15. Mean Estimation in High-Dimensional Binary Markov Gaussian Mixture Models ↗Yihan Zhang, Nir Weinberger
  16. Measuring Data Reconstruction Defenses in Collaborative Inference Systems ↗Mengda Yang, Ziang Li, Juan Wang et al.
  17. Mesoscopic Modeling of Hidden Spiking Neurons ↗Shuqi Wang, Valentin Schmutz, Guillaume Bellec et al.
  18. Meta Reinforcement Learning with Finite Training Tasks - A Density Estimation Approach ↗Zohar Rimon, Aviv Tamar, Gilad Adler
  19. MetricFormer: A Unified Perspective of Correlation Exploring in Similarity Learning ↗Jiexi Yan, Erkun Yang, Cheng Deng et al.
  20. Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders ↗Kiarash Zahirnia, Oliver Schulte, Parmis Naddaf et al.
  21. Model-Based RL with Optimistic Posterior Sampling: Structural Conditions and Sample Complexity ↗Alekh Agarwal, Tong Zhang
  22. Modeling Transitivity and Cyclicity in Directed Graphs Via Binary Code Box Embeddings ↗Dongxu Zhang, Michael Boratko, Cameron Musco et al.
  23. Models Out of Line: A Fourier Lens on Distribution Shift Robustness ↗Sara Fridovich-Keil, Brian R. Bartoldson, James Diffenderfer et al.
  24. Modular Flows: Differential Molecular Generation ↗Yogesh Verma, Samuel Kaski, Markus Heinonen et al.
  25. Moment Distributionally Robust Tree Structured Prediction ↗Yeshu Li, Danyal Saeed, Xinhua Zhang et al.
  26. Momentum Aggregation for Private Non-Convex ERM ↗Hoang Tran, Ashok Cutkosky
  27. Multi-Class H-Consistency Bounds ↗Pranjal Awasthi, Anqi Mao, Mehryar Mohri et al.
  28. Multi-Lingual Acquisition on Multimodal Pre-Training for Cross-Modal Retrieval ↗Liang Zhang, Anwen Hu, Qin Jin
  29. Multiagent Q-Learning with Sub-Team Coordination ↗Wenhan Huang, Kai Li, Kun Shao et al.
  30. Myriad: A Real-World Testbed to Bridge Trajectory Optimization and Deep Learning ↗Nikolaus H. R. Howe, Simon Dufort-Labbé, Nitarshan Rajkumar et al.
  31. Natural Image Synthesis for the Retina with Variational Information Bottleneck Representation ↗Babak Rahmani, Demetri Psaltis, Christophe Moser
  32. Navigating Memory Construction by Global Pseudo-Task Simulation for Continual Learning ↗Yejia Liu, Wang Zhu, Shaolei Ren
  33. Near-Isometric Properties of Kronecker-Structured Random Tensor Embeddings ↗Qijia Jiang
  34. Near-Optimal Collaborative Learning in Bandits ↗Clémence Réda, Sattar Vakili, Emilie Kaufmann
  35. Near-Optimal Goal-Oriented Reinforcement Learning in Non-Stationary Environments ↗Liyu Chen, Haipeng Luo
  36. Nearly Optimal Best-Of-Both-Worlds Algorithms for Online Learning with Feedback Graphs ↗Shinji Ito, Taira Tsuchiya, Junya Honda
  37. Network Change Point Localisation Under Local Differential Privacy ↗Mengchu Li, Tom Berrett, Yi Yu
  38. Neural Attentive Circuits ↗Martin Weiss, Nasim Rahaman, Francesco Locatello et al.
  39. Neural Network Architecture Beyond Width and Depth ↗Shijun Zhang, Zuowei Shen, Haizhao Yang
  40. Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members ↗Daphne Cornelisse, Thomas Rood, Yoram Bachrach et al.
  41. Neural Set Function Extensions: Learning with Discrete Functions in High Dimensions ↗Nikolaos Karalias, Joshua Robinson, Andreas Loukas et al.
  42. Neural Transmitted Radiance Fields ↗Chengxuan Zhu, Renjie Wan, Boxin Shi
  43. Neurosymbolic Deep Generative Models for Sequence Data with Relational Constraints ↗Halley Young, Maxwell Du, Osbert Bastani
  44. Non-Linear Coordination Graphs ↗Yipeng Kang, Tonghan Wang, Qianlan Yang et al.
  45. Nonnegative Tensor Completion Via Integer Optimization ↗Caleb Bugg, Chen Chen, Anil J. Aswani
  46. Not All Bits Have Equal Value: Heterogeneous Precisions Via Trainable Noise ↗Pedro Savarese, Xin Yuan, Yanjing Li et al.
  47. OPEN: Orthogonal Propagation with Ego-Network Modeling ↗Liang Yang, Lina Kang, Qiuliang Zhang et al.
  48. ORIENT: Submodular Mutual Information Measures for Data Subset Selection Under Distribution Shift ↗Athresh Karanam, Krishnateja Killamsetty, Harsha Kokel et al.
  49. OccGen: Selection of Real-World Multilingual Parallel Data Balanced in Gender Within Occupations ↗Marta R. Costa‐jussà, Christine Basta, Oriol Domingo et al.
  50. Off-Team Learning ↗Brandon Cui, Hengyuan Hu, Andrei Lupu et al.
  51. On Batch Teaching with Sample Complexity Bounded by VCD ↗Farnam Mansouri, Hans Ulrich Simon, Adish Kumar Singla et al.
  52. On Divergence Measures for Bayesian Pseudocoresets ↗Balhae Kim, Jungwon Choi, Seanie Lee et al.
  53. On Infinite Separations Between Simple and Optimal Mechanisms ↗Alexandros Psomas, Ariel Schvartzman, S. Weinberg
  54. On Margins and Generalisation for Voting Classifiers ↗Felix Biggs, Valentina Zantedeschi, Benjamin Guedj
  55. On Measuring Excess Capacity in Neural Networks ↗Florian Graf, Sebastian Zeng, Bastian Rieck et al.
  56. On Non-Linear Operators for Geometric Deep Learning ↗Grégoire Sergeant-Perthuis, Jakob Maier, Joan Bruna et al.
  57. On Optimal Learning Under Targeted Data Poisoning ↗Steve Hanneke, Amin Karbasi, Mohammad Mahmoody et al.
  58. On Robust Multiclass Learnability ↗Jingyuan Xu, Weiwei Liu
  59. On Scalable Testing of Samplers ↗Yash Pote, Kuldeep S. Meel
  60. On Scrambling Phenomena for Randomly Initialized Recurrent Networks ↗Vaggos Chatziafratis, Ioannis Panageas, Clayton Sanford et al.
  61. On the Consistent Estimation of Optimal Receiver Operating Characteristic (ROC) Curve ↗Renxiong Liu, Yunzhang Zhu
  62. On the Discrimination Risk of Mean Aggregation Feature Imputation in Graphs ↗Arjun Subramonian, Kai-Wei Chang, Yizhou Sun
  63. On the Effectiveness of Fine-Tuning Versus Meta-Reinforcement Learning ↗Mandi Zhao, Pieter Abbeel, Stephen James
  64. On the Efficient Implementation of High Accuracy Optimality of Profile Maximum Likelihood ↗Moses Charikar, Zhihao Jiang, Kirankumar Shiragur et al.
  65. On the Frequency-Bias of Coordinate-MLPs ↗Sameera Ramasinghe, Lachlan Ewen MacDonald, Simon Lucey
  66. On the Inability of Gaussian Process Regression to Optimally Learn Compositional Functions ↗Matteo Giordano, Kolyan Ray, J. Schmidt-Hieber
  67. On the Interpretability of Regularisation for Neural Networks Through Model Gradient Similarity ↗Vincent Szolnoky, Viktor Andersson, Balaźs Kulcsár et al.
  68. On the Learning Mechanisms in Physical Reasoning ↗Shiqian Li, Kewen Wu, Chi Zhang et al.
  69. On the Relationship Between Variational Inference and Auto-Associative Memory ↗Louis Annabi, Alexandre Pitti, Mathias Quoy
  70. On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory ↗Yang Hu, Adam Wierman, Guannan Qu
  71. On the Symmetries of the Synchronization Problem in Cryo-EM: Multi-Frequency Vector Diffusion Maps on the Projective Plane ↗Gabriele Cesa, Arash Behboodi, Taco Cohen et al.
  72. On the Theoretical Properties of Noise Correlation in Stochastic Optimization ↗Aurélien Lucchi, Frank Proske, Antonio Orvieto et al.
  73. Online Agnostic Multiclass Boosting ↗Vinod Raman, Ambuj Tewari
  74. Online Algorithms for the Santa Claus Problem ↗Max Springer, MohammadTaghi Hajiaghayi, Debmalya Panigrahi et al.
  75. Online Allocation and Learning in the Presence of Strategic Agents ↗Steven Yin, Shipra Agrawal, Assaf J. Zeevi
  76. Online Decision Mediation ↗Daniel Jarrett, Alihan Hüyük, Mihaela Van Der Schaar
  77. Online Minimax Multiobjective Optimization: Multicalibeating and Other Applications ↗Daniel Lee, Georgy Noarov, Mallesh M. Pai et al.
  78. Online Neural Sequence Detection with Hierarchical Dirichlet Point Process ↗Weihan Li, Yu Qi, Gang Pan
  79. Online Reinforcement Learning for Mixed Policy Scopes ↗Junzhe Zhang, Elias Bareinboim
  80. Ontologue: Declarative Benchmark Construction for Ontological Multi-Label Classification ↗Sean Yang, Bernease Herman, Bill Howe
  81. Optimal Comparator Adaptive Online Learning with Switching Cost ↗Zhiyu Zhang, Ashok Cutkosky, Yannis Paschalidis
  82. Optimal Gradient Sliding and Its Application to Optimal Distributed Optimization Under Similarity ↗Dmitry Kovalev, Aleksandr Beznosikov, Ekaterina D Borodich et al.
  83. Optimal Scaling for Locally Balanced Proposals in Discrete Spaces ↗Haoran Sun, Hanjun Dai, Dale Schuurmans
  84. Optimistic Tree Searches for Combinatorial Black-Box Optimization ↗Cédric Malherbe, Antoine Grosnit, Rasul Tutunov et al.
  85. Para-CFlows: Ck-Universal Diffeomorphism Approximators as Superior Neural Surrogates ↗Junlong Lyu, Zhitang Chen, Chang Qing Feng et al.
  86. Parameter Tuning and Model Selection in Optimal Transport with Semi-Dual Brenier Formulation ↗Adrien Vacher, François‐Xavier Vialard
  87. Partial Identification of Treatment Effects with Implicit Generative Models ↗Vahid Balazadeh, Vasilis Syrgkanis, Rahul G. Krishnan
  88. PeRFception: Perception Using Radiance Fields ↗Yoonwoo Jeong, Seungjoo Shin, Junha Lee et al.
  89. Perfect Sampling from Pairwise Comparisons ↗Dimitris A. Fotakis, Alkis Kalavasis, Christos Tzamos
  90. Pessimism for Offline Linear Contextual Bandits Using lp Confidence Sets ↗Gene Li, Cong Ma, Nathan Srebro
  91. Phase Transition from Clean Training to Adversarial Training ↗Yue Xing, Qifan Song, Guang Cheng
  92. Phase Transitions in When Feedback is Useful ↗Lokesh Boominathan, Xaq Pitkow
  93. Policy Gradient with Serial Markov Chain Reasoning ↗Edoardo Cetin, Oya Çeliktutan
  94. Policy Optimization with Linear Temporal Logic Constraints ↗Cameron Voloshin, Hoang Le, Swarat Chaudhuri et al.
  95. Posted Pricing and Dynamic Prior-Independent Mechanisms with Value Maximizers ↗Yuan Deng, Vahab Mirrokni, Hanrui Zhang
  96. Predictive Querying for Autoregressive Neural Sequence Models ↗Alex Boyd, Sam Showalter, Stephan Mandt et al.
  97. Private Graph All-Pairwise-Shortest-Path Distance Release with Improved Error Rate ↗Chenglin Fan, Ping Li, Xiaoyun Li
  98. Private Isotonic Regression ↗Badih Ghazi, Pritish Kamath, Ravi Ranjan Kumar et al.
  99. Private Multiparty Perception for Navigation ↗Hui Lu, Mia Chiquier, Carl Vondrick
  100. Private and Communication-Efficient Algorithms for Entropy Estimation ↗Gecia Bravo-Hermsdorff, Róbert Busa‐Fekete, Mohammad Ghavamzadeh et al.

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