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NeurIPS 2023: all accepted papers

3,540 papers · page 29 of 36 · the most cited first · ← NeurIPS 2023

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  1. A Dataset for Analyzing Streaming Media Performance over HTTP/3 Browsers ↗Sapna Chaudhary, Mukulika Maity, Sandip Chakraborty et al.
  2. A Dynamical System View of Langevin-Based Non-Convex Sampling ↗Mohammad Reza Karimi Jaghargh, Ya-Ping Hsieh, Andreas Krause
  3. A Fast and Accurate Estimator for Large Scale Linear Model via Data Averaging ↗Rui Wang, Yanyan Ouyang, Yu Panpan et al.
  4. A Framework for Fast and Stable Representations of Multiparameter Persistent Homology Decompositions ↗David Loiseaux, Mathieu Carrière, Andrew J. Blumberg
  5. A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction ↗Guillaume Huguet, Alexander A. Tong, Edward De Brouwer et al.
  6. A High-Resolution Dataset for Instance Detection with Multi-View Object Capture ↗Qianqian Shen, Yunhan Zhao, Nahyun Kwon et al.
  7. A Long N-step Surrogate Stage Reward for Deep Reinforcement Learning ↗Junmin Zhong, Ruofan Wu, Jennie Si
  8. A Measure-Theoretic Axiomatisation of Causality ↗Junhyung Park, Simon Buchholz, Bernhard Schölkopf et al.
  9. A Privacy-Friendly Approach to Data Valuation ↗Jiachen (Tianhao) Wang, Yuqing Zhu, Jiachen (Tianhao) Wang et al.
  10. A Randomized Approach to Tight Privacy Accounting ↗Jiachen (Tianhao) Wang, Saeed Mahloujifar, Tong Wu et al.
  11. A Robust and Opponent-Aware League Training Method for StarCraft II ↗Ruozi Huang, Haobo Fu, Qiang Fu et al.
  12. A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models ↗Alexander G. Reisach, Myriam Tami, Christof Seiler et al.
  13. A Simple Solution for Offline Imitation from Observations and Examples with Possibly Incomplete Trajectories ↗Kai Yan, Alexander Gerhard Schwing, Yu-Xiong Wang
  14. A Single-Loop Accelerated Extra-Gradient Difference Algorithm with Improved Complexity Bounds for Constrained Minimax Optimization ↗Yuanyuan Liu, Fanhua Shang, Weixin An et al.
  15. A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm ↗Ilias Diakonikolas, Daniel M. Kane, Jasper C. H. Lee et al.
  16. A State Representation for Diminishing Rewards ↗Ted Moskovitz, Samo Hromadka, Ahmed Touati et al.
  17. A Sublinear-Time Spectral Clustering Oracle with Improved Preprocessing Time ↗Ranran Shen, Pan Peng
  18. A Trichotomy for Transductive Online Learning ↗Steve Hanneke, Shay Moran, Jonathan Shafer
  19. A Unified Approach to Count-Based Weakly Supervised Learning ↗Vinay Shukla, Zhe Zeng, Kareem Ahmed et al.
  20. A Unified Detection Framework for Inference-Stage Backdoor Defenses ↗Xun Xian, Ganghua Wang, Jayanth Srinivasa et al.
  21. A Unified Discretization Framework for Differential Equation Approach with Lyapunov Arguments for Convex Optimization ↗Kansei Ushiyama, Shun Sato, Takayasu Matsuo
  22. A Unified Model and Dimension for Interactive Estimation ↗Nataly Brukhim, Miro Dudík, Aldo Pacchiano et al.
  23. A Unified Solution for Privacy and Communication Efficiency in Vertical Federated Learning ↗Ganyu Wang, Bin Gu, Qingsong Zhang et al.
  24. A Variational Perspective on High-Resolution ODEs ↗Hoomaan Maskan, Konstantinos C. Zygalakis, Alp Yurtsever
  25. A normative theory of social conflict ↗Sergey Shuvaev, Evgeny Amelchenko, Дмитрий Александрович Смагин et al.
  26. AGD: an Auto-switchable Optimizer using Stepwise Gradient Difference for Preconditioning Matrix ↗Yun Yue, Zhiling Ye, Jiadi Jiang et al.
  27. ARTree: A Deep Autoregressive Model for Phylogenetic Inference ↗Tianyu Xie, Cheng Zhang
  28. ASPEN: Breaking Operator Barriers for Efficient Parallelization of Deep Neural Networks ↗Jongseok Park, Kyungmin Bin, Gibum Park et al.
  29. Abide by the law and follow the flow: conservation laws for gradient flows ↗Sibylle Marcotte, Rémi Gribonval, Gabriel Peyré A
  30. Accelerated On-Device Forward Neural Network Training with Module-Wise Descending Asynchronism ↗Xiaohan Zhao, Hualin Zhang, Zhouyuan Huo et al.
  31. Accelerated Quasi-Newton Proximal Extragradient: Faster Rate for Smooth Convex Optimization ↗Ruichen Jiang, Aryan Mokhtari
  32. Accelerated Training via Incrementally Growing Neural Networks using Variance Transfer and Learning Rate Adaptation ↗Xin Yuan, Pedro Savarese, Michael Maire
  33. Accelerating Exploration with Unlabeled Prior Data ↗Qiyang Li, Jason Zhang, Dibya Ghosh et al.
  34. Accelerating Monte Carlo Tree Search with Probability Tree State Abstraction ↗Yangqing Fu, Ming Sun, Buqing Nie et al.
  35. Accelerating Motion Planning via Optimal Transport ↗An T. Le, Georgia Chalvatzaki, Armin Biess et al.
  36. Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples ↗Hao Sun, Alihan Hüyük, Daniel Jarrett et al.
  37. Achieving O(ε-1.5) Complexity in Hessian/Jacobian-free Stochastic Bilevel Optimization ↗Yifan Yang, Peiyao Xiao, Kaiyi Ji
  38. Action Inference by Maximising Evidence: Zero-Shot Imitation from Observation with World Models ↗Xingyuan Zhang, Philip Becker-Ehmck, Patrick van der Smagt et al.
  39. Active Bipartite Ranking ↗James Cheshire, Vincent Laurent, Stéphan Clémençon
  40. Active Observing in Continuous-time Control ↗Samuel Holt, Alihan Hüyük, Mihaela Van Der Schaar
  41. Active representation learning for general task space with applications in robotics ↗Yifang Chen, Yingbing Huang, Simon Du et al.
  42. Actively Testing Your Model While It Learns: Realizing Label-Efficient Learning in Practice ↗Dayou Yu, Weishi Shi, Qi Yu
  43. AdaVAE: Bayesian Structural Adaptation for Variational Autoencoders ↗Paribesh Regmi, Rui Li
  44. AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking ↗Yang Yu, Qi Liu, Kai Zhang et al.
  45. Adaptive Data Analysis in a Balanced Adversarial Model ↗Kobbi Nissim B, Uri Stemmer, Eliad Tsfadia
  46. Adaptive Linear Estimating Equations ↗Mufang Ying, Koulik Khamaru, Cun‐Hui Zhang
  47. Adaptive SGD with Polyak stepsize and Line-search: Robust Convergence and Variance Reduction ↗Xiaowen Jiang, Sebastian U. Stich
  48. Adaptive Selective Sampling for Online Prediction with Experts ↗Rui Castro, Fredrik Hellström, Tim van Erven
  49. Adversarial Resilience in Sequential Prediction via Abstention ↗Surbhi Goel, Steve Hanneke, Shay Moran et al.
  50. Adversarial Robustness through Random Weight Sampling ↗Yanxiang Ma, Minjing Dong, Chang Xu
  51. Adversarial Self-Training Improves Robustness and Generalization for Gradual Domain Adaptation ↗Lianghe Shi, Weiwei Liu
  52. Adversarial Training from Mean Field Perspective ↗Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
  53. Adversarially Robust Distributed Count Tracking via Partial Differential Privacy ↗Zhongzheng Xiong, Xiaoyi Zhu, Zengfeng Huang
  54. Adversarially Robust Learning with Uncertain Perturbation Sets ↗Tosca Lechner, Vinayak Pathak, Ruth Urner
  55. Agnostic Multi-Group Active Learning ↗Nicholas Rittler, Kamalika Chaudhuri
  56. Agnostically Learning Single-Index Models using Omnipredictors ↗Aravind Gollakota, Parikshit Gopalan, Adam R. Klivans et al.
  57. AirDelhi: Fine-Grained Spatio-Temporal Particulate Matter Dataset From Delhi For ML based Modeling ↗Sachin Kumar Chauhan, Zeel Bharatkumar Patel, Sayan Ranu et al.
  58. AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline Multi-Agent RL via Alternating Stationary Distribution Correction Estimation ↗Daiki E. Matsunaga, Jongmin Lee, Jaeseok Yoon et al.
  59. Aligning Gradient and Hessian for Neural Signed Distance Function ↗Ruian Wang, Zixiong Wang, Yunxiao Zhang et al.
  60. AllSim: Simulating and Benchmarking Resource Allocation Policies in Multi-User Systems ↗Jeroen Berrevoets, Daniel Jarrett, Alex Chan et al.
  61. Alternating Updates for Efficient Transformers ↗Cenk Baykal, Dylan J Cutler, Nishanth Dikkala et al.
  62. Alternation makes the adversary weaker in two-player games ↗Volkan Cevher, Ashok Cutkosky, Ali Kavis et al.
  63. An Adaptive Algorithm for Learning with Unknown Distribution Drift ↗Alessio Mazzetto, Eli Upfal
  64. An Efficient Doubly-Robust Test for the Kernel Treatment Effect ↗Diego Martinez-Taboada, Aaditya Ramdas, Edward Kennedy
  65. An NLP Benchmark Dataset for Assessing Corporate Climate Policy Engagement ↗Gaku Morio, Christopher D. Manning
  66. Analysis of Variance of Multiple Causal Networks ↗Zhongli Jiang, Dabao Zhang
  67. Analyzing Generalization of Neural Networks through Loss Path Kernels ↗Yilan Chen, Wei Huang, Hao Wang et al.
  68. Anonymous Learning via Look-Alike Clustering: A Precise Analysis of Model Generalization ↗Adel Javanmard, Vahab Mirrokni
  69. Anytime Model Selection in Linear Bandits ↗Parnian Kassraie, Nicolas Emmenegger, Andreas Krause et al.
  70. Anytime-Competitive Reinforcement Learning with Policy Prior ↗Jianyi Yang, Pengfei Li, Tongxin Li et al.
  71. Approximate Allocation Matching for Structural Causal Bandits with Unobserved Confounders ↗Lai Wei, Muhammad Qasim Elahi, Mahsa Ghasemi et al.
  72. Approximate Heavy Tails in Offline (Multi-Pass) Stochastic Gradient Descent ↗Kruno Lehman, Alain Durmus, Umut Simsekli
  73. Approximate inference of marginals using the IBIA framework ↗Shivani Bathla, V. Vasudevan
  74. Are Diffusion Models Vision-And-Language Reasoners? ↗Benno Krojer, Elinor Poole-Dayan, Vikram Voleti et al.
  75. Are GATs Out of Balance? ↗Nimrah Mustafa, Aleksandar Bojchevski, Rebekka Burkholz
  76. Asymptotically Optimal Quantile Pure Exploration for Infinite-Armed Bandits ↗X. H. Gong, Mark Sellke
  77. Asymptotics of Bayesian Uncertainty Estimation in Random Features Regression ↗Youngsoo Baek, Samuel Berchuck, Sayan Mukherjee
  78. AutoGO: Automated Computation Graph Optimization for Neural Network Evolution ↗Mohammad Salameh, Keith G. Mills, Negar Hassanpour et al.
  79. Automatic Integration for Spatiotemporal Neural Point Processes ↗Zihao Zhou, Rose Yu
  80. Autonomous Capability Assessment of Sequential Decision-Making Systems in Stochastic Settings ↗Pulkit Verma, Rushang Karia, Siddharth Srivastava
  81. BERT Lost Patience Won't Be Robust to Adversarial Slowdown ↗Zachary Coalson, Gabriel Ritter, Rakesh B. Bobba et al.
  82. Back-Modality: Leveraging Modal Transformation for Data Augmentation ↗Zhi Li, Yifan Liu, Yin Zhang
  83. BadTrack: A Poison-Only Backdoor Attack on Visual Object Tracking ↗Huang Bin, Jiaqian Yu, Yiwei Chen et al.
  84. Bandit Social Learning under Myopic Behavior ↗Kiarash Banihashem, MohammadTaghi Hajiaghayi, Suho Shin et al.
  85. Bandit Task Assignment with Unknown Processing Time ↗Shinji Ito, Daisuke Hatano, Hanna Sumita et al.
  86. BanditPAM++: Faster k-medoids Clustering ↗Mo Tiwari, Ryan Kang, Donghyun Lee et al.
  87. Batch Bayesian Optimization For Replicable Experimental Design ↗Zhongxiang Dai, Quoc Phong Nguyen, Sebastian Shenghong Tay et al.
  88. Bayesian Active Causal Discovery with Multi-Fidelity Experiments ↗Zeyu Zhang, Chaozhuo Li, Xu Chen et al.
  89. Bayesian Learning of Optimal Policies in Markov Decision Processes with Countably Infinite State-Space ↗Saghar Adler, Vijay Subramanian
  90. Bayesian Learning via Q-Exponential Process ↗Shuyi Li, Michael O'Connor, Shiwei Lan
  91. Bayesian Optimisation of Functions on Graphs ↗Xingchen Wan, Pierre Osselin, Henry Kenlay et al.
  92. Bayesian Optimization with Cost-varying Variable Subsets ↗Sebastian Shenghong Tay, Chuan-Sheng Foo, Daisuke Urano et al.
  93. Bayesian Risk-Averse Q-Learning with Streaming Observations ↗Yuhao Wang, Enlu Zhou
  94. Bayesian nonparametric (non-)renewal processes for analyzing neural spike train variability ↗David Liu, Máté Lengyel
  95. Benchmark of Machine Learning Force Fields for Semiconductor Simulations: Datasets, Metrics, and Comparative Analysis ↗Geonu Kim, Byunggook Na, Gunhee Kim et al.
  96. Beta Diffusion ↗Mingyuan Zhou, Tianqi Chen, Zhendong Wang et al.
  97. Better Correlation and Robustness: A Distribution-Balanced Self-Supervised Learning Framework for Automatic Dialogue Evaluation ↗Peiwen Yuan, Xinglin Wang, Jiayi Shi et al.
  98. Beyond Average Return in Markov Decision Processes ↗Alexandre Marthe, Aurélien Garivier, Claire Vernade
  99. Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions ↗Tongxin Li, Yiheng Lin, Shaolei Ren et al.
  100. Beyond MLE: Convex Learning for Text Generation ↗Chenze Shao, Zhengrui Ma, Min Zhang et al.

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