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NeurIPS 2024: all accepted papers

4,494 papers · page 42 of 45 · the most cited first · ← NeurIPS 2024

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  1. On the Expressive Power of Tree-Structured Probabilistic Circuits ↗Lang Yin, Han Zhao
  2. On the Expressivity and Sample Complexity of Node-Individualized Graph Neural Networks ↗Paolo Pellizzoni, Till Hendrik Schulz, Dexiong Chen et al.
  3. On the Limitations of Fractal Dimension as a Measure of Generalization ↗Charlie Tan, Inés García‐Redondo, Qiquan Wang et al.
  4. On the Minimax Regret for Contextual Linear Bandits and Multi-Armed Bandits with Expert Advice ↗Shinji Ito
  5. On the Necessity of Collaboration for Online Model Selection with Decentralized Data ↗Junfan Li, Zheshun Wu, Zheshun Wu et al.
  6. On the Optimal Time Complexities in Decentralized Stochastic Asynchronous Optimization ↗Alexander Tyurin, Peter Richtárik
  7. On the Optimality of Dilated Entropy and Lower Bounds for Online Learning in Extensive-Form Games ↗Zhiyuan Fan, Christian Kroer, Gabriele Farina
  8. On the Parameter Identifiability of Partially Observed Linear Causal Models ↗Xinshuai Dong, Ignavier Ng, Biwei Huang et al.
  9. On the Power of Small-size Graph Neural Networks for Linear Programming ↗Qian Li, Tian Ding, Linxin Yang et al.
  10. On the Robustness of Spectral Algorithms for Semirandom Stochastic Block Models ↗Aditya Bhaskara, Agastya Vibhuti Jha, Michael Kapralov et al.
  11. On the Saturation Effects of Spectral Algorithms in Large Dimensions ↗Weihao Lu, Haobo Zhang, Yicheng Li et al.
  12. On the Sparsity of the Strong Lottery Ticket Hypothesis ↗Emanuele Natale, Davide Ferré, Giordano Giambartolomei et al.
  13. On the Surprising Effectiveness of Attention Transfer for Vision Transformers ↗Alexander Li, Yuandong Tian, Beidi Chen et al.
  14. On the cohesion and separability of average-link for hierarchical agglomerative clustering ↗Eduardo Sany Laber, Miguel Batista
  15. One-Layer Transformer Provably Learns One-Nearest Neighbor In Context ↗Zihao Li, Yuan Cao, Cheng Gao et al.
  16. Online Budgeted Matching with General Bids ↗Jianyi Yang, Pengfei Li, Adam Wierman et al.
  17. Online Composite Optimization Between Stochastic and Adversarial Environments ↗Yibo Wang, Si‐Jia Chen, Wei Jiang et al.
  18. Online Consistency of the Nearest Neighbor Rule ↗Sanjoy Dasgupta, Geelon So
  19. Online Control in Population Dynamics ↗Noah Golowich, Elad Hazan, Lu Zhou et al.
  20. Online Control with Adversarial Disturbance for Continuous-time Linear Systems ↗Jingwei Li, Jing Dong, Can Chang et al.
  21. Online Convex Optimisation: The Optimal Switching Regret for all Segmentations Simultaneously ↗Stephen Pasteris, Chris Hicks, Vasilios Mavroudis et al.
  22. Online Feature Updates Improve Online (Generalized) Label Shift Adaptation ↗Ruihan Wu, Siddhartha Datta, Yi Su et al.
  23. Online Learning of Delayed Choices ↗Recep Yusuf Bekci
  24. Online Non-convex Learning in Dynamic Environments ↗Zhipan Xu, Lijun Zhang
  25. Online Posterior Sampling with a Diffusion Prior ↗Branislav Kveton, Boris N. Oreshkin, Youngsuk Park et al.
  26. Online Weighted Paging with Unknown Weights ↗Orin Levy, Noam Touitou, Aviv Rosenberg
  27. Only Strict Saddles in the Energy Landscape of Predictive Coding Networks? ↗Francesco Innocenti, El Mehdi Achour, Ryan R. Singh et al.
  28. Open-Book Neural Algorithmic Reasoning ↗Hefei Li, Chao Hua Peng, Chenyang Xu et al.
  29. Operator World Models for Reinforcement Learning ↗Pietro Novelli, Marco Pratticò, Massimiliano Pontil et al.
  30. OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations ↗Yao Shu, Jiongfeng Fang, Ying He et al.
  31. Optimal Algorithms for Augmented Testing of Discrete Distributions ↗Maryam Aliakbarpour, Piotr Indyk, Ronitt Rubinfeld et al.
  32. Optimal Algorithms for Learning Partitions with Faulty Oracles ↗Adela DePavia, Olga Medrano Martín del Campo, Erasmo Tani
  33. Optimal Design for Human Preference Elicitation ↗Subhojyoti Mukherjee, Anusha Lalitha, Kousha Kalantari et al.
  34. Optimal Hypothesis Selection in (Almost) Linear Time ↗Maryam Aliakbarpour, Mark Bun, Adam Smith
  35. Optimal Multiclass U-Calibration Error and Beyond ↗Haipeng Luo, Spandan Senapati, Vatsal Sharan
  36. Optimal Parallelization of Boosting ↗Arthur da Cunha, Mikael Møller Høgsgaard, Kasper Green Larsen
  37. Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample Regime ↗Lasse Vuursteen
  38. Optimal and Approximate Adaptive Stochastic Quantization ↗Ran Ben Basat, Yaniv Ben-Itzhak, Michael Mitzenmacher et al.
  39. Optimal-state Dynamics Estimation for Physics-based Human Motion Capture from Videos ↗Cuong Le, Viktor Johansson, Manon Kok et al.
  40. Optimizing Automatic Differentiation with Deep Reinforcement Learning ↗Jamie Lohoff, Emre Ozgur Neftci
  41. Optimizing over Multiple Distributions under Generalized Quasar-Convexity Condition ↗Shihong Ding, Long Yang, Luo Luo et al.
  42. Optimizing the coalition gain in Online Auctions with Greedy Structured Bandits ↗Dorian Baudry, Hugo Richard, Maria Cherifa et al.
  43. Oracle-Efficient Differentially Private Learning with Public Data ↗Adam Block, Mark Bun, Rathin Desai et al.
  44. Oracle-Efficient Reinforcement Learning for Max Value Ensembles ↗Marcel Hussing, Michael J. Kearns, Aaron Roth et al.
  45. Ordered Momentum for Asynchronous SGD ↗Chang-Wei Shi, Yi-Rui Yang, Wu-Jun Li
  46. Ordering-Based Causal Discovery for Linear and Nonlinear Relations ↗Zhuopeng Xu, Yujie Li, Cheng Liu et al.
  47. Outlier-Robust Distributionally Robust Optimization via Unbalanced Optimal Transport ↗Zifan Wang, Yi Shen, Michael M. Zavlanos et al.
  48. Over-parameterized Student Model via Tensor Decomposition Boosted Knowledge Distillation ↗Yu-Liang Zhan, Zhong-Yi Lu, Hao Sun et al.
  49. PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning ↗Chengyang Ying, Zhongkai Hao, Xinning Zhou et al.
  50. PEACE: A Dataset of Pharmaceutical Care for Cancer Pain Analgesia Evaluation and Medication Decision ↗Yutao Dou, Huimin M. Yu, Wei Li et al.
  51. PRODuctive bandits: Importance Weighting No More ↗Julian Zimmert, Teodor V. Marinov
  52. Paloma: A Benchmark for Evaluating Language Model Fit ↗Ian Magnusson, Akshita Bhagia, Valentin Hofmann et al.
  53. Parallel Backpropagation for Shared-Feature Visualization ↗Alexander Lappe, Anna Bognár, Ghazaleh Ghamkhari Nejad et al.
  54. Parameterized Approximation Schemes for Fair-Range Clustering ↗Zhen Zhang, Xiaohong Chen, Limei Liu et al.
  55. Parametric model reduction of mean-field and stochastic systems via higher-order action matching ↗Jules J. Berman, Tobias Blickhan, Benjamin Peherstorfer
  56. Partial Transportability for Domain Generalization ↗Kasra Jalaldoust, Alexis Bellot, Elias Bareinboim
  57. Particle Semi-Implicit Variational Inference ↗Jen Ning Lim, Adam Michael Johansen
  58. Paths to Equilibrium in Games ↗Bora Yongacoglu, Gürdal Arslan, Lacra Pavel et al.
  59. Pedestrian-Centric 3D Pre-collision Pose and Shape Estimation from Dashcam Perspective ↗Meijun Wang, Yu Meng, Zhongwei Qiu et al.
  60. Perception of Knowledge Boundary for Large Language Models through Semi-open-ended Question Answering ↗Zhihua Wen, Zhiliang Tian, Zexin Jian et al.
  61. Performative Control for Linear Dynamical Systems ↗Songfu Cai, Fei Han, Xuanyu Cao
  62. Periodic agent-state based Q-learning for POMDPs ↗Amit Sinha, Matthieu Geist, Aditya Mahajan
  63. Perplexity-aware Correction for Robust Alignment with Noisy Preferences ↗Keyi Kong, Xilie Xu, Di Wang et al.
  64. Persistence Homology Distillation for Semi-supervised Continual Learning ↗Yan Fan, Yu Wang, Pengfei Zhu et al.
  65. PertEval: Unveiling Real Knowledge Capacity of LLMs with Knowledge-Invariant Perturbations ↗Jiatong Li, Renjun Hu, Kunzhe Huang et al.
  66. Pessimistic Backward Policy for GFlowNets ↗Hyosoon Jang, Hyosoon Jang, Minsu Kim et al.
  67. Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning ↗Yuxuan Ren, Dihan Zheng, Chang Liu et al.
  68. Physics-Informed Variational State-Space Gaussian Processes ↗Oliver Hamelijnck, Arno Solin, Theodoros Damoulas
  69. Piecewise deterministic generative models ↗Andrea Bertazzi, Dario Shariatian, Umut Şimşekli et al.
  70. Piecewise-Stationary Bandits with Knapsacks ↗Xilin Zhang, Cheung Wang
  71. Policy Aggregation ↗Parand A. Alamdari, Soroush Ebadian, Ariel D. Procaccia
  72. Policy Mirror Descent with Lookahead ↗Kimon Protopapas, Anas Barakat
  73. Policy Optimization for Robust Average Reward MDPs ↗Zhongchang Sun, Sihong He, Fei Miao et al.
  74. Polyhedral Complex Derivation from Piecewise Trilinear Networks ↗Jin-Hwa Kim
  75. Position Coupling: Improving Length Generalization of Arithmetic Transformers Using Task Structure ↗Hanseul Cho, Jaeyoung Cha, Pranjal Awasthi et al.
  76. Practical Shuffle Coding ↗Julius Kunze, Daniel Severo, Jan-Willem van de Meent et al.
  77. Pre-Trained Multi-Goal Transformers with Prompt Optimization for Efficient Online Adaptation ↗Haoqi Yuan, Zongqing Lu, Feiyang Xie et al.
  78. Pre-training Differentially Private Models with Limited Public Data ↗Zhiqi Bu, Xinwei Zhang, Sheng Zha et al.
  79. Predictor-Corrector Enhanced Transformers with Exponential Moving Average Coefficient Learning ↗Bei Li, Tong Zheng, Rui Wang et al.
  80. Preference-based Pure Exploration ↗Apurv Shukla, Debabrota Basu
  81. Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise Regularization ↗Junlin He, Junlin He, Susu Xu et al.
  82. Private Edge Density Estimation for Random Graphs: Optimal, Efficient and Robust ↗Hongjie Chen, Jingqiu Ding, Yiding Hua et al.
  83. Private Geometric Median ↗Mahdi Haghifam, Thomas Steinke, Jonathan Ullman
  84. Private Stochastic Convex Optimization with Heavy Tails: Near-Optimality from Simple Reductions ↗Hilal Asi, Daogao Liu, Kevin Tian
  85. Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data ↗Pei-Yau Weng, Minh Hoang, Lam M. Nguyen et al.
  86. Probabilistic size-and-shape functional mixed models ↗Fangyi Wang, Karthik Bharath, Oksana Chkrebtii et al.
  87. Progressive Exploration-Conformal Learning for Sparsely Annotated Object Detection in Aerial Images ↗Zhen Cui, Chenxu Wang, Chunyan Xu et al.
  88. Promoting Fairness Among Dynamic Agents in Online-Matching Markets under Known Stationary Arrival Distributions ↗Will Ma, Xu Pan
  89. Propensity Score Alignment of Unpaired Multimodal Data ↗Johnny Xi, Jana Osea, Johnny Xi et al.
  90. Prospective Learning: Learning for a Dynamic Future ↗Ashwin De Silva, Rahul Ramesh, Rubing Yang et al.
  91. Provable Acceleration of Nesterov's Accelerated Gradient for Asymmetric Matrix Factorization and Linear Neural Networks ↗Zhenghao Xu, Yuqing Wang, Tuo Zhao et al.
  92. Provable Editing of Deep Neural Networks using Parametric Linear Relaxation ↗Zhe Tao, Aditya Thakur
  93. Provably Efficient Interactive-Grounded Learning with Personalized Reward ↗Mengxiao Zhang, Yuheng Zhang, Haipeng Luo et al.
  94. Provably Faster Algorithms for Bilevel Optimization via Without-Replacement Sampling ↗Junyi Li, Heng Huang
  95. Provably Optimal Memory Capacity for Modern Hopfield Models: Transformer-Compatible Dense Associative Memories as Spherical Codes ↗Jerry Yao-Chieh Hu, Dennis Wu, Han Liu
  96. Pruning neural network models for gene regulatory dynamics using data and domain knowledge ↗Intekhab Hossain, Jonas Fischer, Rebekka Burkholz et al.
  97. Public-data Assisted Private Stochastic Optimization: Power and Limitations ↗Enayat Ullah, Michael Menart, Raef Bassily et al.
  98. QGFN: Controllable Greediness with Action Values ↗Elaine Lau, Stephen Lu, Ling Pan et al.
  99. Quadratic Quantum Variational Monte Carlo ↗Baiyu Su, Qiang Liu
  100. Qualitative Mechanism Independence ↗Oliver Richardson, Spencer Peters, Joseph Yehuda Halpern

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