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NeurIPS 2023: all accepted papers

3,540 papers · page 35 of 36 · the most cited first · ← NeurIPS 2023

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  1. SaVeNet: A Scalable Vector Network for Enhanced Molecular Representation Learning ↗Sarp Aykent, Tian Xia
  2. Saddle-to-Saddle Dynamics in Diagonal Linear Networks ↗Scott Pesme, Nicolas Flammarion
  3. SafeDICE: Offline Safe Imitation Learning with Non-Preferred Demonstrations ↗Youngsoo Jang, Byoungjip Kim, Jongmin Lee et al.
  4. Sample Complexity for Quadratic Bandits: Hessian Dependent Bounds and Optimal Algorithms ↗Qian Yu, Yining Wang, Baihe Huang et al.
  5. Sample Complexity of Forecast Aggregation ↗Tao Lin, Yiling Chen
  6. Sample based Explanations via Generalized Representers ↗Che-Ping Tsai, Chih‐Kuan Yeh, Pradeep Ravikumar
  7. Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic Generalization Bounds ↗Ziqiao Wang, Yongyi Mao
  8. Sampling from Structured Log-Concave Distributions via a Soft-Threshold Dikin Walk ↗Oren Mangoubi, Nisheeth K. Vishnoi
  9. Scale-Space Hypernetworks for Efficient Biomedical Image Analysis ↗Jose Javier Gonzalez Ortiz, John V. Guttag, Adrian Vasile Dalca
  10. Searching for Optimal Per-Coordinate Step-sizes with Multidimensional Backtracking ↗Frederik Künstner, Victor Sanches Portella, Mark Schmidt et al.
  11. Selective Sampling and Imitation Learning via Online Regression ↗Ayush Sekhari, Karthik Sridharan, Wen Sun et al.
  12. Self-supervised Graph Neural Networks via Low-Rank Decomposition ↗Liang Yang, Runjie Shi, Qiuliang Zhang et al.
  13. Semantic Image Synthesis with Unconditional Generator ↗Jungwoo Chae, Hyunin Cho, Sooyeon Go et al.
  14. Semi-Implicit Denoising Diffusion Models (SIDDMs) ↗Xu Yanwu, Mingming Gong, Shaoan Xie et al.
  15. Sharp Recovery Thresholds of Tensor PCA Spectral Algorithms ↗Michael J. Feldman, David L. Donoho
  16. Should We Learn Most Likely Functions or Parameters? ↗Shikai Qiu, Tim G. J. Rudner, Sanyam Kapoor et al.
  17. Single-Call Stochastic Extragradient Methods for Structured Non-monotone Variational Inequalities: Improved Analysis under Weaker Conditions ↗Sayantan Choudhury, Eduard Gorbunov, Nicolas Loizou
  18. Sketching Algorithms for Sparse Dictionary Learning: PTAS and Turnstile Streaming ↗Gregory Dexter, Petros Drineas B, David P. Woodruff et al.
  19. Slot-guided Volumetric Object Radiance Fields ↗Di Qi, Tong yi Yang, Xiangyu Zhang
  20. Small Total-Cost Constraints in Contextual Bandits with Knapsacks, with Application to Fairness ↗Evgenii Chzhen, Christophe Giraud, Zhen Li et al.
  21. Smooth Flipping Probability for Differential Private Sign Random Projection Methods ↗Ping Li, Xiaoyun Li
  22. SmoothHess: ReLU Network Feature Interactions via Stein's Lemma ↗Max Torop, Aria Masoomi, Davin Hill et al.
  23. Smoothed Online Learning for Prediction in Piecewise Affine Systems ↗Adam Block, Max Simchowitz, Russ Tedrake
  24. Spectral Entry-wise Matrix Estimation for Low-Rank Reinforcement Learning ↗Stefan Stojanovic, Yassir Jedra, Alexandre Proutière
  25. Stability-penalty-adaptive follow-the-regularized-leader: Sparsity, game-dependency, and best-of-both-worlds ↗Taira Tsuchiya, Shinji Ito, Junya Honda
  26. Stable Nonconvex-Nonconcave Training via Linear Interpolation ↗Thomas Pethick, Wanyun Xie, Volkan Cevher
  27. Stable Vectorization of Multiparameter Persistent Homology using Signed Barcodes as Measures ↗David Loiseaux, Luis Scoccola, Mathieu Carrière et al.
  28. Statistical Analysis of Quantum State Learning Process in Quantum Neural Networks ↗Hao-kai Zhang, Chenghong Zhu, Mingrui Jing et al.
  29. Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and Inference ↗Licong Lin, Mufang Ying, Suvrojit Ghosh et al.
  30. Statistical and Computational Trade-off in Multi-Agent Multi-Armed Bandits ↗Filippo Vannella, Alexandre Proutière, Jaeseong Jeong
  31. Stein Π-Importance Sampling ↗Congye Wang, Ye Chen, Heishiro Kanagawa et al.
  32. Stochastic Approximation Algorithms for Systems of Interacting Particles ↗Mohammad Reza Karimi Jaghargh, Ya-Ping Hsieh, Andreas Krause
  33. Stochastic Multi-armed Bandits: Optimal Trade-off among Optimality, Consistency, and Tail Risk ↗David Simchi‐Levi, Zeyu Zheng, Feng Zhu
  34. Strategic Behavior in Two-sided Matching Markets with Prediction-enhanced Preference-formation ↗Stefania Ionescu, Yuhao Du, Kenneth Joseph et al.
  35. Strategyproof Voting under Correlated Beliefs ↗Daniel Halpern, Rachel Li, Ariel Procaccia
  36. Streaming PCA for Markovian Data ↗Syamantak Kumar, Purnamrita Sarkar
  37. Structure Learning with Adaptive Random Neighborhood Informed MCMC ↗Xitong Liang, Alberto Caron, Samuel Livingstone et al.
  38. Structure of universal formulas ↗Dmitry Yarotsky
  39. Structured Neural-PI Control with End-to-End Stability and Output Tracking Guarantees ↗Wenqi Cui, Yan Jiang, Baosen Zhang et al.
  40. Structured Semidefinite Programming for Recovering Structured Preconditioners ↗Arun Jambulapati, Jerry Li, Christopher Musco et al.
  41. Sub-optimality of the Naive Mean Field approximation for proportional high-dimensional Linear Regression ↗Jiaze Qiu
  42. Survival Permanental Processes for Survival Analysis with Time-Varying Covariates ↗Hideaki Kim
  43. SyncTREE: Fast Timing Analysis for Integrated Circuit Design through a Physics-informed Tree-based Graph Neural Network ↗Yuting Hu, Jiajie Li, Florian Klemme et al.
  44. Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions ↗Abhineet Agarwal, Anish Agarwal, Suhas Vijaykumar
  45. Tackling Heavy-Tailed Rewards in Reinforcement Learning with Function Approximation: Minimax Optimal and Instance-Dependent Regret Bounds ↗Jiayi Huang, Han Zhong, Liwei Wang et al.
  46. Task-Robust Pre-Training for Worst-Case Downstream Adaptation ↗Jianghui Wang, Yang Chen, Xingyu Xie et al.
  47. Task-aware world model learning with meta weighting via bi-level optimization ↗Huining Yuan, Hongkun Dou, Xingyu Jiang et al.
  48. Team-PSRO for Learning Approximate TMECor in Large Team Games via Cooperative Reinforcement Learning ↗Stephen McAleer, Gabriele Farina, Gaoyue Zhou et al.
  49. Tempo Adaptation in Non-stationary Reinforcement Learning ↗Hyunin Lee, Yuhao Ding, Jongmin Lee et al.
  50. Temporal Causal Mediation through a Point Process: Direct and Indirect Effects of Healthcare Interventions ↗Çağlar Hızlı, St John, Anne Juuti et al.
  51. Temporally Disentangled Representation Learning under Unknown Nonstationarity ↗Xiangchen Song, Weiran Yao, Yewen Fan et al.
  52. Tester-Learners for Halfspaces: Universal Algorithms ↗Aravind Gollakota, Adam R. Klivans, Konstantinos Stavropoulos et al.
  53. Text Alignment Is An Efficient Unified Model for Massive NLP Tasks ↗Yuheng Zha, Yichi Yang, Ruichen Li et al.
  54. The Bayesian Stability Zoo ↗Shay Moran, Hilla Schefler, Jonathan Shafer
  55. The Benefits of Being Distributional: Small-Loss Bounds for Reinforcement Learning ↗Kaiwen Wang, Kevin Zhou, Runzhe Wu et al.
  56. The Contextual Lasso: Sparse Linear Models via Deep Neural Networks ↗Ryan Thompson, Amir Dezfouli, Robert Kohn
  57. The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model ↗Laixi Shi, Gen Li, Yuting Wei et al.
  58. The Equivalence of Dynamic and Strategic Stability under Regularized Learning in Games ↗Victor Boone, Panayotis Mertikopoulos
  59. The Gain from Ordering in Online Learning ↗Vasilis Kontonis, Mingchen Ma, Christos Tzamos
  60. The Geometry of Neural Nets' Parameter Spaces Under Reparametrization ↗Agustinus Kristiadi, Felix Dangel, Philipp Hennig
  61. The Graph Pencil Method: Mapping Subgraph Densities to Stochastic Block Models ↗Lee Gunderson, Gecia Bravo-Hermsdorff, Peter Orbanz
  62. The ToMCAT Dataset ↗Adarsh Pyarelal, Eric Duong, Caleb Shibu et al.
  63. Thinker: Learning to Plan and Act ↗Stephen Chung, Ivan Anokhin, David Krueger
  64. Three Iterations of (d − 1)-WL Test Distinguish Non Isometric Clouds of d-dimensional Points ↗Valentino Delle Rose, Alexander Kozachinskiy, Cristóbal Rojas et al.
  65. Thrust: Adaptively Propels Large Language Models with External Knowledge ↗Xinran Zhao, Hongming Zhang, Xiaoman Pan et al.
  66. Time-Independent Information-Theoretic Generalization Bounds for SGLD ↗Futoshi Futami, Masahiro Fujisawa
  67. Time-uniform confidence bands for the CDF under nonstationarity ↗Paul Mineiro, Steven R. Howard
  68. To Stay or Not to Stay in the Pre-train Basin: Insights on Ensembling in Transfer Learning ↗Ildus Sadrtdinov, Dmitrii Pozdeev, Dmitry Vetrov et al.
  69. Topological Obstructions and How to Avoid Them ↗Babak Esmaeili, Robin Walters, Heiko Zimmermann et al.
  70. Topological Parallax: A Geometric Specification for Deep Perception Models ↗Abraham Smith, Michael J. Catanzaro, Gabrielle Angeloro et al.
  71. Topological RANSAC for instance verification and retrieval without fine-tuning ↗Guoyuan An, Ju-Hyeong Seon, Inkyu An et al.
  72. Towards Accelerated Model Training via Bayesian Data Selection ↗Zhijie Deng, Peng Cui, Jun Zhu
  73. Towards Anytime Classification in Early-Exit Architectures by Enforcing Conditional Monotonicity ↗Metod Jazbec, James Urquhart Allingham, Dan Zhang et al.
  74. Towards Characterizing the First-order Query Complexity of Learning (Approximate) Nash Equilibria in Zero-sum Matrix Games ↗Hédi Hadiji, Sarah Sachs, Tim van Erven et al.
  75. Towards Data-Agnostic Pruning At Initialization: What Makes a Good Sparse Mask? ↗Hoang Pham, The Anh Ta, Shiwei Liu et al.
  76. Towards Higher Ranks via Adversarial Weight Pruning ↗Yuchuan Tian, Hanting Chen, Tianyu Guo et al.
  77. Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network ↗Fuyuan Lyu, Xing Tang, Dugang Liu et al.
  78. Towards Optimal Effective Resistance Estimation ↗Rajat Vadiraj Dwaraknath, Ishani Karmarkar, Aaron Sidford
  79. Towards Robust and Expressive Whole-body Human Pose and Shape Estimation ↗Hui En Pang, Zhongang Cai, Lei Yang et al.
  80. Towards Test-Time Refusals via Concept Negation ↗Peiran Dong, Song Guo, Junxiao Wang et al.
  81. Towards a fuller understanding of neurons with Clustered Compositional Explanations ↗Biagio La Rosa, Leilani H. Gilpin, Roberto Capobianco
  82. Towards robust and generalizable representations of extracellular data using contrastive learning ↗Ankit Vishnubhotla, Charlotte Loh, Akash Srivastava et al.
  83. Tracking Most Significant Shifts in Nonparametric Contextual Bandits ↗Joe Suk, Samory Kpotufe
  84. Trading-off price for data quality to achieve fair online allocation ↗Mathieu Molina, Nicolas Gast, Patrick Loiseau et al.
  85. Train 'n Trade: Foundations of Parameter Markets ↗Tzu-Heng Huang, Harit Vishwakarma, Frédéric Sala
  86. Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models ↗Yubin Shi, Yixuan Chen, Mingzhi Dong et al.
  87. Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks ↗Jun Yin, Chaozhuo Li, Hao Yan et al.
  88. Training Private Models That Know What They Don’t Know ↗Stephan Rabanser, Anvith Thudi, Abhradeep Thakurta et al.
  89. Training Transitive and Commutative Multimodal Transformers with LoReTTa ↗Manuel Tran, Yashin Dicente Cid, Amal Lahiani et al.
  90. Training Your Image Restoration Network Better with Random Weight Network as Optimization Function ↗Man Zhou, Naishan Zheng, Yuan Xu et al.
  91. Training on Foveated Images Improves Robustness to Adversarial Attacks ↗Muhammad Shah, Aqsa Kashaf, Bhiksha Raj
  92. Training shallow ReLU networks on noisy data using hinge loss: when do we overfit and is it benign? ↗Erin George, Michael Murray, William Swartworth et al.
  93. Trajectory Alignment: Understanding the Edge of Stability Phenomenon via Bifurcation Theory ↗Minhak Song, Chulhee Yun
  94. Transformers are uninterpretable with myopic methods: a case study with bounded Dyck grammars ↗Kaiyue Wen, Yuchen Li, Bingbin Liu et al.
  95. Transportability for Bandits with Data from Different Environments ↗Alexis Bellot, Alan Malek, Silvia Chiappa
  96. Tree Variational Autoencoders ↗Laura Manduchi, Moritz Vandenhirtz, Alain Ryser et al.
  97. TriRE: A Multi-Mechanism Learning Paradigm for Continual Knowledge Retention and Promotion ↗Preetha Vijayan, Prashant Bhat, Bahram Zonooz et al.
  98. Trial matching: capturing variability with data-constrained spiking neural networks ↗Christos Sourmpis, Carl Petersen, Wulfram Gerstner et al.
  99. Truncating Trajectories in Monte Carlo Policy Evaluation: an Adaptive Approach ↗Riccardo Poiani, Nicole Nobili, Alberto Maria Metelli et al.
  100. Trust Your : Gradient-based Intervention Targeting for Causal Discovery ↗Mateusz Olko, Michal Zajac, Aleksandra Nowak et al.

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