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NeurIPS 2022: all accepted papers

2,834 papers · page 26 of 29 · the most cited first · ← NeurIPS 2022

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  1. Expected Frequency Matrices of Elections: Computation, Geometry, and Preference Learning ↗Niclas Boehmer, Robert Bredereck, Edith Elkind et al.
  2. Expected Improvement for Contextual Bandits ↗Hung Tran-The, Sunil Gupta, Santu Rana et al.
  3. Experimental Design for Linear Functionals in Reproducing Kernel Hilbert Spaces ↗Mojmír Mutný, Andreas Krause
  4. Explicable Policy Search ↗Ze Gong, Yu Tony Zhang
  5. Exploiting Semantic Relations for Glass Surface Detection ↗Jiaying Lin, Yuen Hei Yeung, Rynson W. H. Lau
  6. Exploiting the Relationship Between Kendall's Rank Correlation and Cosine Similarity for Attribution Protection ↗Fan Wang, Adams Wai Kin Kong
  7. Exposing and Exploiting Fine-Grained Block Structures for Fast and Accurate Sparse Training ↗Peng Jiang, Lihan Hu, Shihui Song
  8. Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods ↗Kimon Antonakopoulos, Ali Kavis, Volkan Cevher
  9. Extrapolative Continuous-Time Bayesian Neural Network for Fast Training-Free Test-Time Adaptation ↗Hengguan Huang, Xiangming Gu, Hao Wang et al.
  10. FETA: Towards Specializing Foundational Models for Expert Task Applications ↗Amit Alfassy, Assaf Arbelle, Oshri Halimi et al.
  11. FIRE: Semantic Field of Words Represented as Non-Linear Functions ↗Xin Du, Kumiko Tanaka‐Ishii
  12. Factored DRO: Factored Distributionally Robust Policies for Contextual Bandits ↗Tong Mu, Yash Chandak, Tatsunori Hashimoto et al.
  13. Fair and Optimal Decision Trees: A Dynamic Programming Approach ↗Jacobus G. M. van der Linden, Mathijs M. De Weerdt, Emir Demirović
  14. Fast Algorithms for Packing Proportional Fairness and Its Dual ↗F. Criado, David Martínez-Rubio, Sebastian Pokutta
  15. Fast Distance Oracles for Any Symmetric Norm ↗Yichuan Deng, Zhao Song, Omri Weinstein et al.
  16. Fast Stochastic Composite Minimization and an Accelerated Frank-Wolfe Algorithm Under Parallelization ↗Benjamin Dubois-Taine, Francis Bach, Quentin Berthet et al.
  17. Few-Shot Task-Agnostic Neural Architecture Search for Distilling Large Language Models ↗Dongkuan Xu, Subhabrata Mukherjee, Xiaodong Liu et al.
  18. Finding Optimal Arms in Non-Stochastic Combinatorial Bandits with Semi-Bandit Feedback and Finite Budget ↗Jasmin Brandt, Viktor Bengs, Björn Haddenhorst et al.
  19. Fine-Grained Analysis of Stability and Generalization for Modern Meta Learning Algorithms ↗Jiechao Guan, Yong Liu, Lu Zhiwu
  20. Finite Sample Analysis of Dynamic Regression Parameter Learning ↗Mark Kozdoba, Edward Moroshko, Shie Mannor et al.
  21. Fixed-Distance Hamiltonian Monte Carlo ↗Hadi Mohasel Afshar, Sally Cripps
  22. FlowHMM: Flow-Based Continuous Hidden Markov Models ↗Paweł Lorek, Rafał Nowak, T. P. Trzcinski et al.
  23. Formalizing Consistency and Coherence of Representation Learning ↗Harald Strömfelt, Luke Dickens, Artur d’Avila Garcez et al.
  24. Forward-Backward Latent State Inference for Hidden Continuous-Time semi-Markov Chains ↗Nicolai Engelmann, Heinz Koeppl
  25. Foundation Posteriors for Approximate Probabilistic Inference ↗Mike Wu, Noah D. Goodman
  26. Functional Ensemble Distillation ↗Coby Penso, Idan Achituve, Ethan Fetaya
  27. Functional Indirection Neural Estimator for Better Out-Of-Distribution Generalization ↗Kha Pham, Thai Hung Le, Man Ngo et al.
  28. Fused Orthogonal Alternating Least Squares for Tensor Clustering ↗Jiacheng Wang, Dan Nicolae
  29. GAPX: Generalized Autoregressive Paraphrase-Identification X ↗Yifei Zhou, Renyu Li, Hayden Housen et al.
  30. GBA: A Tuning-Free Approach to Switch Between Synchronous and Asynchronous Training for Recommendation Models ↗Wenbo Su, Yuanxing Zhang, Yufeng Cai et al.
  31. GRASP: Navigating Retrosynthetic Planning with Goal-Driven Policy ↗Yemin Yu, Ying Wei, Kun Kuang et al.
  32. Gaussian Copula Embeddings ↗Chien Lu, Jaakko Peltonen
  33. Generalization Analysis on Learning with a Concurrent Verifier ↗Masaaki Nishino, Kengo Nakamura, Norihito Yasuda
  34. Generalization Bounds for Gradient Methods Via Discrete and Continuous Prior ↗Xuanyuan Luo, Luo Bei, Jian Li
  35. Generalization Bounds with Minimal Dependency on Hypothesis Class Via Distributionally Robust Optimization ↗Yibo Zeng, Henry Lam
  36. Generalization Properties of NAS Under Activation and Skip Connection Search ↗Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos et al.
  37. Generalizing Consistent Multi-Class Classification with Rejection to Be Compatible with Arbitrary Losses ↗Yuzhou Cao, Tianchi Cai, Lei Feng et al.
  38. Generative Status Estimation and Information Decoupling for Image Rain Removal ↗Di Lin, Xin Eric Wang, Jia Shen et al.
  39. Geodesic Self-Attention for 3D Point Clouds ↗Zhengyu Li, Xuan Tang, Zihao Xu et al.
  40. Global Convergence of Federated Learning for Mixed Regression ↗Lili Su, Jiaming Xu, Pengkun Yang
  41. Global Optimal K-Medoids Clustering of One Million Samples ↗Jiayang Ren, Kaixun Hua, Yankai Cao
  42. Graph Convolution Network Based Recommender Systems: Learning Guarantee and Item Mixture Powered Strategy ↗Leyan Deng, Defu Lian, Chenwang Wu et al.
  43. Graph Learning Assisted Multi-Objective Integer Programming ↗Yaoxin Wu, Wen Song, Zhiguang Cao et al.
  44. Grounded Reinforcement Learning: Learning to Win the Game Under Human Commands ↗Shusheng Xu, Huaijie Wang, Yi Wu
  45. HAPI: A Large-Scale Longitudinal Dataset of Commercial ML API Predictions ↗Lingjiao Chen, Zhihua Jin, Evan Sabri Eyuboglu et al.
  46. Hardness in Markov Decision Processes: Theory and Practice ↗Michelangelo Conserva, Paulo Rauber
  47. Hedging as Reward Augmentation in Probabilistic Graphical Models ↗Debarun Bhattacharjya, Radu Marinescu
  48. Hierarchical Lattice Layer for Partially Monotone Neural Networks ↗Hiroki Yanagisawa, Kohei Miyaguchi, Takayuki Katsuki
  49. Homomorphic Matrix Completion ↗Xiao-Yang Liu, Zechu Steven Li, Xiaodong Wang
  50. How Well Do Unsupervised Learning Algorithms Model Human Real-Time and Life-Long Learning? ↗Chengxu Zhuang, Ziyu Xiang, Yoon Bai et al.
  51. Human-AI Collaborative Bayesian Optimisation ↗Arun Kumar A V, Santu Rana, Alistair P. Shilton et al.
  52. HumanLiker: A Human-Like Object Detector to Model the Manual Labeling Process ↗Haoran Wei, Ping Guo, Yangguang Zhu et al.
  53. Identifiability and Generalizability from Multiple Experts in Inverse Reinforcement Learning ↗Paul Rolland, Luca Viano, Norman Schürhoff et al.
  54. Implications of Model Indeterminacy for Explanations of Automated Decisions ↗Marc-Etienne Brunet, Ashton Anderson, Richard Zemel
  55. Implicit Regularization Or Implicit Conditioning? Exact Risk Trajectories of SGD in High Dimensions ↗Courtney Paquette, Elliot Paquette, Ben Adlam et al.
  56. Improving Task-Specific Generalization in Few-Shot Learning Via Adaptive Vicinal Risk Minimization ↗Long-Kai Huang, Ying Wei
  57. In Differential Privacy, There is Truth: On Vote-Histogram Leakage in Ensemble Private Learning ↗Jiaqi Wang, Roei Schuster, I Shumailov et al.
  58. Incrementality Bidding Via Reinforcement Learning Under Mixed and Delayed Rewards ↗Ashwinkumar Badanidiyuru, Zhe Feng, Tianxi Li et al.
  59. Independence Testing for Bounded Degree Bayesian Networks ↗Arnab Bhattacharyya, Clément L. Canonne, Qiping Yang
  60. Infinite-Fidelity Coregionalization for Physical Simulation ↗Shibo Li, Zheng Wang, Robert Kirby et al.
  61. Interpolation and Regularization for Causal Learning ↗Leena Chennuru Vankadara, Luca Rendsburg, Ulrike Von Luxburg A et al.
  62. Invariance Learning Based on Label Hierarchy ↗Shoji Toyota, Kenji Fukumizu
  63. Invariance-Aware Randomized Smoothing Certificates ↗Jan Schuchardt, Stephan Günnemann
  64. Is This the Right Neighborhood? Accurate and Query Efficient Model Agnostic Explanations ↗Amit Dhurandhar, Karthikeyan Natesan Ramamurthy, Karthikeyan Shanmugam
  65. KSD Aggregated Goodness-Of-Fit Test ↗Antonin Schrab, Benjamin Guedj, Arthur Gretton
  66. Kernel Multimodal Continuous Attention ↗Alexander Moreno, Zhenke Wu, Supriya Nagesh et al.
  67. LOG: Active Model Adaptation for Label-Efficient OOD Generalization ↗Jie-Jing Shao, Lan-Zhe Guo, Xiao-Wen Yang et al.
  68. Langevin Autoencoders for Learning Deep Latent Variable Models ↗Shohei Taniguchi, Yusuke Iwasawa, Wataru Kumagai et al.
  69. Latent Planning Via Expansive Tree Search ↗Robert Gieselmann, Florian T. Pokorny
  70. Learning (Very) Simple Generative Models is Hard ↗Sitan Chen, Jerry Li, Yuanzhi Li
  71. Learning Bipartite Graphs: Heavy Tails and Multiple Components ↗José Vinícius de Miranda Cardoso, Jiaxi Ying, Daniel P. Palomar
  72. Learning Concept Credible Models for Mitigating Shortcuts ↗Jiaxuan Wang, Sarah Jabbour, Maggie Makar et al.
  73. Learning Distributions Generated by Single-Layer ReLU Networks in the Presence of Arbitrary Outliers ↗Saikiran Bulusu, Geethu Joseph, M. Cenk Gursoy et al.
  74. Learning Dynamics of Deep Linear Networks with Multiple Pathways ↗Jianghong Shi, Eric Shea‐Brown, Michael A. Buice
  75. Learning Enhanced Representation for Tabular Data Via Neighborhood Propagation ↗Kounianhua Du, Weinan Zhang, Ruiwen Zhou et al.
  76. Learning Expressive Meta-Representations with Mixture of Expert Neural Processes ↗Qi Wang, Herke van Hoof
  77. Learning Fractional White Noises in Neural Stochastic Differential Equations ↗Anh Tong, Thanh Nguyen-Tang, Toan Bao Tran et al.
  78. Learning Generalized Policy Automata for Relational Stochastic Shortest Path Problems ↗Rushang Karia, Rashmeet Kaur Nayyar, Siddharth Srivastava
  79. Learning Individualized Treatment Rules with Many Treatments: A Supervised Clustering Approach Using Adaptive Fusion ↗Haixu Ma, Donglin Zeng, Yufeng Liu
  80. Learning Interacting Dynamical Systems with Latent Gaussian Process ODEs ↗Çağatay Yıldız, Melih Kandemir, Barbara Rakitsch
  81. Learning Recourse on Instance Environment to Enhance Prediction Accuracy ↗Lokesh N, Guntakanti Sai Koushik, Abir De et al.
  82. Learning Robust Dynamics Through Variational Sparse Gating ↗Arnav Jain, Shivakanth Sujit, Shruti Joshi et al.
  83. Learning Robust Rule Representations for Abstract Reasoning Via Internal Inferences ↗Wenbo Zhang, Likai Tang, Site Mo et al.
  84. Learning Structure from the Ground up - Hierarchical Representation Learning by Chunking ↗Shuchen Wu, Noémi Éltető, Ishita Dasgupta et al.
  85. Learning Tractable Probabilistic Models from Inconsistent Local Estimates ↗Shasha Jin, Vasundhara Komaragiri, Tahrima Rahman et al.
  86. Learning Two-Player Markov Games: Neural Function Approximation and Correlated Equilibrium ↗Chris Junchi Li, Dongruo Zhou, Quanquan Gu et al.
  87. Learning a Condensed Frame for Memory-Efficient Video Class-Incremental Learning ↗Yixuan Pei, Zhiwu Qing, Jun Cen et al.
  88. Learning and Covering Sums of Independent Random Variables with Unbounded Support ↗Alkis Kalavasis, Konstantinos Stavropoulos, Emmanouil Zampetakis
  89. Learning from Distributed Users in Contextual Linear Bandits Without Sharing the Context ↗Osama A. Hanna, Lin Yang, Christina Fragouli
  90. Learning from a Sample in Online Algorithms ↗C. J. Argue, ALAN M. FRIEZE, Anupam Gupta et al.
  91. Learning on Arbitrary Graph Topologies Via Predictive Coding ↗Tommaso Salvatori, Luca Pinchetti, Beren Millidge et al.
  92. Learning on the Edge: Online Learning with Stochastic Feedback Graphs ↗Emmanuel Esposito, Federico Fusco, Dirk van der Hoeven et al.
  93. Learning to Constrain Policy Optimization with Virtual Trust Region ↗Thai Hung Le, Thommen K. George, Majid Abdolshah et al.
  94. Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs ↗Djordje Miladinovic, Kumar Shridhar, Kushal Jain et al.
  95. Learning versus Refutation in Noninteractive Local Differential Privacy ↗Alexander Edmonds, Aleksandar Nikolov, Toniann Pitassi
  96. Learning with Little Mixing ↗Ingvar Ziemann, Stephen Tu
  97. Left Heavy Tails and the Effectiveness of the Policy and Value Networks in DNN-Based Best-First Search for Sokoban Planning ↗Dieqiao Feng, Carla P. Gomes, Bart Selman
  98. Less-Forgetting Multi-Lingual Fine-Tuning ↗Yuren Mao, Yaobo Liang, Nan Duan et al.
  99. Linear Label Ranking with Bounded Noise ↗Dimitris A. Fotakis, Alkis Kalavasis, Vasilis Kontonis et al.
  100. List-Decodable Sparse Mean Estimation ↗Shiwei Zeng, Jie Shen

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