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NeurIPS 2023: all accepted papers

3,540 papers · page 30 of 36 · the most cited first · ← NeurIPS 2023

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  1. BiSLS/SPS: Auto-tune Step Sizes for Stable Bi-level Optimization ↗Chen Fan, Gaspard Choné-Ducasse, Mark Schmidt et al.
  2. Bias in Evaluation Processes: An Optimization-Based Model ↗L. Elisa Celis, Amit Kumar, Anay Mehrotra et al.
  3. Bicriteria Approximation Algorithms for the Submodular Cover Problem ↗Wenjing Chen, Victoria G. Crawford
  4. Bicriteria Multidimensional Mechanism Design with Side Information ↗Siddharth Prasad, Maria-Florina Balcan, Tüomas Sandholm
  5. Birder: Communication-Efficient 1-bit Adaptive Optimizer for Practical Distributed DNN Training ↗Hanyang Peng, Shuang Qin, Yue Yu et al.
  6. Block Low-Rank Preconditioner with Shared Basis for Stochastic Optimization ↗Jui-Nan Yen, Sai Surya Duvvuri, Inderjit S. Dhillon et al.
  7. Blocked Collaborative Bandits: Online Collaborative Filtering with Per-Item Budget Constraints ↗Soumyabrata Pal, Arun Suggala, Karthikeyan Shanmugam et al.
  8. Boosting Spectral Clustering on Incomplete Data via Kernel Correction and Affinity Learning ↗Fangchen Yu, Runze Zhao, Zhan Shi et al.
  9. Boosting with Tempered Exponential Measures ↗Richard Nock, Ehsan Amid, Manfred K. Warmuth
  10. Brain-like Flexible Visual Inference by Harnessing Feedback Feedforward Alignment ↗Tahereh Toosi, Elias B. Issa
  11. Bridging RL Theory and Practice with the Effective Horizon ↗Cassidy Laidlaw, Stuart Russell, Anca Dragan
  12. Bypassing spike sorting: Density-based decoding using spike localization from dense multielectrode probes ↗Yizi Zhang, Tianxi He, Julien Boussard et al.
  13. Bypassing the Simulator: Near-Optimal Adversarial Linear Contextual Bandits ↗Haolin Liu, Chen-Yu Wei, Julian Zimmert
  14. Byzantine-Tolerant Methods for Distributed Variational Inequalities ↗Nazarii Tupitsa, Abdulla Jasem Almansoori, Yanlin Wu et al.
  15. CAPP-130: A Corpus of Chinese Application Privacy Policy Summarization and Interpretation ↗Pengyun Zhu, Long Wen, Jinfei Liu et al.
  16. CARE: Modeling Interacting Dynamics Under Temporal Environmental Variation ↗Xiao Luo, Haixin Wang, Zijie Huang et al.
  17. CLeAR: Continual Learning on Algorithmic Reasoning for Human-like Intelligence ↗Bong Gyun Kang, Hyungi Kim, Dahuin Jung et al.
  18. CS-Isolate: Extracting Hard Confident Examples by Content and Style Isolation ↗Yexiong Lin, Yu Yao, Xiaolong Shi et al.
  19. Calibrate and Boost Logical Expressiveness of GNN Over Multi-Relational and Temporal Graphs ↗Dingmin Wang, Yeyuan Chen
  20. Calibrating “Cheap Signals” in Peer Review without a Prior ↗Yuxuan Lu, Yuqing Kong
  21. Can Language Models Teach? Teacher Explanations Improve Student Performance via Personalization ↗Swarnadeep Saha, Peter Hase, Mohit Bansal
  22. Can semi-supervised learning use all the data effectively? A lower bound perspective ↗Alexandru Ţifrea, Gizem Yüce, Amartya Sanyal et al.
  23. Causal Effect Regularization: Automated Detection and Removal of Spurious Correlations ↗Abhinav Kumar, Amit Deshpande, Amit Raj Sharma
  24. Causal Imitability Under Context-Specific Independence Relations ↗Fateme Jamshidi, Sina Akbari, Negar Kiyavash
  25. Cause-Effect Inference in Location-Scale Noise Models: Maximum Likelihood vs. Independence Testing ↗Xiangyu Sun, Oliver Schulte
  26. Certification of Distributional Individual Fairness ↗Matthew Wicker, Vihari Piratla, Adrian Weller
  27. Characteristic Circuits ↗Zhongjie Yu, Martin Trapp, Kristian Kersting
  28. Characterization of Overfitting in Robust Multiclass Classification ↗Jingyuan Xu, Weiwei Liu
  29. Characterizing the Impacts of Semi-supervised Learning for Weak Supervision ↗Jeffrey Li, Jieyu Zhang, Ludwig Schmidt et al.
  30. Characterizing the Optimal 0-1 Loss for Multi-class Classification with a Test-time Attacker ↗Sihui Dai, Wenxin Ding, Arjun Nitin Bhagoji et al.
  31. Cheaply Estimating Inference Efficiency Metrics for Autoregressive Transformer Models ↗Deepak Narayanan, Keshav Santhanam, Peter B. Henderson et al.
  32. CluB: Cluster Meets BEV for LiDAR-Based 3D Object Detection ↗Yingjie Wang, Jiajun Deng, Yuenan Hou et al.
  33. Clustering the Sketch: Dynamic Compression for Embedding Tables ↗Henry Ling-Hei Tsang, Thomas D. Ahle
  34. CoLLAT: On Adding Fine-grained Audio Understanding to Language Models using Token-Level Locked-Language Tuning ↗Dadallage A R Silva, Spencer Whitehead, Christopher T. Lengerich et al.
  35. Coherent Soft Imitation Learning ↗Joe Watson, Sandy Huang, Nicolas Heess
  36. Collaborative Alignment of NLP Models ↗Fereshte Khani, Marco Túlio Ribeiro
  37. Combinatorial Group Testing with Selfish Agents ↗Georgios Chionas, Dariusz Kowalski, Piotr Krysta
  38. Common Ground in Cooperative Communication ↗Xiaoran Hao, Yash Jhaveri, Patrick Shafto
  39. Communication-Efficient Federated Bilevel Optimization with Global and Local Lower Level Problems ↗Junyi Li, Feihu Huang, Heng Huang
  40. Compact Neural Volumetric Video Representations with Dynamic Codebooks ↗Haoyu Guo, Sida Peng, Yunzhi Yan et al.
  41. Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions ↗Leonidas Tsepenekas, Ivan Brugere, Freddy Lécué et al.
  42. Composable Coresets for Determinant Maximization: Greedy is Almost Optimal ↗Siddharth Gollapudi, Sepideh Mahabadi, Varun Sivashankar
  43. Compositional Sculpting of Iterative Generative Processes ↗Timur Garipov, Sebastiaan De Peuter, Ge Yang et al.
  44. Computational Guarantees for Doubly Entropic Wasserstein Barycenters ↗Tomas Vaškevičius, Lénaïc Chizat
  45. Computing Approximate p Sensitivities ↗Swati Padmanabhan, David P. Woodruff, Richard Zhang
  46. Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games ↗Brian Hu Zhang, Gabriele Farina, Ioannis Anagnostides et al.
  47. Connecting Pre-trained Language Model and Downstream Task via Properties of Representation ↗Chenwei Wu, Holden Lee, Rong Ge
  48. Conservative Offline Policy Adaptation in Multi-Agent Games ↗Chengjie Wu, Pingzhong Tang, Jun Yang et al.
  49. Consistent Aggregation of Objectives with Diverse Time Preferences Requires Non-Markovian Rewards ↗Silviu Pitis
  50. Constant Approximation for Individual Preference Stable Clustering ↗Anders Aamand, Justin Y. Chen, Allen Liu et al.
  51. Constructing Non-isotropic Gaussian Diffusion Model Using Isotropic Gaussian Diffusion Model for Image Editing ↗Xi Yu, Xiang Gu, Haozhi Liu et al.
  52. Context-lumpable stochastic bandits ↗Chung-Wei Lee, Qinghua Liu, Yasin Abbasi Yadkori et al.
  53. ContinuAR: Continuous Autoregression For Infinite-Fidelity Fusion ↗Wei Xing, Yuxin Wang, Zheng Xing
  54. Contrastive Moments: Unsupervised Halfspace Learning in Polynomial Time ↗Xinyuan Cao, Santosh Vempala
  55. Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL ↗Chen Sun, Wannan Yang, Thomas Jiralerspong et al.
  56. Contrastive Sampling Chains in Diffusion Models ↗Junyu Zhang, Daochang Liu, Shichao Zhang et al.
  57. Contrastive Training of Complex-Valued Autoencoders for Object Discovery ↗Aleksandar Stanić, Anand Gopalakrishnan, Kazuki Irie et al.
  58. Convergence analysis of ODE models for accelerated first-order methods via positive semidefinite kernels ↗Jungbin Kim, Insoon Yang
  59. Convergence of Actor-Critic with Multi-Layer Neural Networks ↗Haoxing Tian, Alex Olshevsky, Yannis Paschalidis
  60. Convergence of mean-field Langevin dynamics: time-space discretization, stochastic gradient, and variance reduction ↗Taiji Suzuki, Denny Wu, Atsushi Nitanda
  61. Convex-Concave Zero-Sum Markov Stackelberg Games ↗Denizalp Goktas, Arjun Prakash, Amy Greenwald
  62. Cookie Consent Has Disparate Impact on Estimation Accuracy ↗Erik Miehling, Rahul Nair, Elizabeth M. Daly et al.
  63. Coop: Memory is not a Commodity ↗Jianhao Zhang, Shihan Ma, Peihong Liu et al.
  64. Correlation Aware Sparsified Mean Estimation Using Random Projection ↗Shuli Jiang, Pranay Sharma, Gauri Joshi
  65. Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry ↗Bariscan Bozkurt, Cengiz Pehlevan, Alper Tunga Erdogan
  66. Counterfactual Evaluation of Peer-Review Assignment Policies ↗Martin Saveski, Steven Jecmen, Nihar B. Shah et al.
  67. Counterfactual-Augmented Importance Sampling for Semi-Offline Policy Evaluation ↗Shengpu Tang, Jenna Wiens
  68. Counterfactually Comparing Abstaining Classifiers ↗Yo Joong Choe, Aditya Gangrade, Aaditya Ramdas
  69. Counting Distinct Elements Under Person-Level Differential Privacy ↗Thomas Steinke, Alexander Knop
  70. Covariance-adaptive best arm identification ↗El Mehdi Saad, Gilles Blanchard, Nicolas Verzélen
  71. Creating a Public Repository for Joining Private Data ↗James Cook, Milind Shyani, Nina Mishra
  72. Credal Marginal MAP ↗Radu Marinescu, Debarun Bhattacharjya, Junkyu Lee et al.
  73. DISCOVER: Making Vision Networks Interpretable via Competition and Dissection ↗Konstantinos Panousis, Sotirios Chatzis
  74. DISCS: A Benchmark for Discrete Sampling ↗Katayoon Goshvadi, Haoran Sun, Xingchao Liu et al.
  75. DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework ↗Siran Dai, Qianqian Xu, Zhiyong Yang et al.
  76. Data-Dependent Bounds for Online Portfolio Selection Without Lipschitzness and Smoothness ↗Tsai Chung-En, Y. Lin, Yen-Huan Li
  77. Data-Informed Geometric Space Selection ↗Shuai Zhang, Wenqi Jiang
  78. Debiased and Denoised Entity Recognition from Distant Supervision ↗Haobo Wang, Yiwen Dong, Ruixuan Xiao et al.
  79. Debiasing Conditional Stochastic Optimization ↗Lie He, Shiva Prasad Kasiviswanathan
  80. Debiasing Pretrained Generative Models by Uniformly Sampling Semantic Attributes ↗Walter Gerych, Kevin Hickey, Luke Buquicchio et al.
  81. Decentralized Matrix Sensing: Statistical Guarantees and Fast Convergence ↗Marie Maros, Gesualdo Scutari
  82. Decision Stacks: Flexible Reinforcement Learning via Modular Generative Models ↗Siyan Zhao, Aditya Grover
  83. Decision-Aware Actor-Critic with Function Approximation and Theoretical Guarantees ↗Sharan Vaswani, Amirreza Kazemi, Reza Babanezhad et al.
  84. Deep Gaussian Markov Random Fields for Graph-Structured Dynamical Systems ↗Fiona Lippert, Bart Kranstauber, E. Emiel van Loon et al.
  85. Deep Recurrent Optimal Stopping ↗Niranjan Damera Venkata, Chiranjib Bhattacharyya
  86. Deep Stochastic Processes via Functional Markov Transition Operators ↗Jin Xu, Emilien Dupont, Kaspar Märtens et al.
  87. DeepPCR: Parallelizing Sequential Operations in Neural Networks ↗Federico Danieli, Miguel Sarabia, Xavier Suau Cuadros et al.
  88. Degraded Polygons Raise Fundamental Questions of Neural Network Perception ↗Leonard Tang, Dan Ley
  89. Delayed Algorithms for Distributed Stochastic Weakly Convex Optimization ↗Wenzhi Gao, Qi Deng
  90. Delegated Classification ↗Eden Saig, Inbal Talgam-Cohen, Nir Rosenfeld
  91. Demographic Parity Constrained Minimax Optimal Regression under Linear Model ↗Kazuto Fukuchi, Jun Sakuma
  92. Demystifying the Optimal Performance of Multi-Class Classification ↗Minoh Jeong, Martina Cardone, Alex Dytso
  93. Dense-Exponential Random Features: Sharp Positive Estimators of the Gaussian Kernel ↗Valerii Likhosherstov, Krzysztof Choromański, Kumar Avinava Dubey et al.
  94. Design from Policies: Conservative Test-Time Adaptation for Offline Policy Optimization ↗Jinxin Liu, Hongyin Zhang, Zifeng Zhuang et al.
  95. DiffVL: Scaling Up Soft Body Manipulation using Vision-Language Driven Differentiable Physics ↗Zhiao Huang, Feng Chen, Yewen Pu et al.
  96. Differentiable Random Partition Models ↗Thomas M. Sutter, Alain Ryser, Joram Liebeskind et al.
  97. Differentiable Sampling of Categorical Distributions Using the CatLog-Derivative Trick ↗Lennert De Smet, Emanuele Sansone, Pedro Zuidberg Dos Martires
  98. Differentially Private Image Classification by Learning Priors from Random Processes ↗Xinyu Tang, Ashwinee Panda, Vikash Sehwag et al.
  99. Differentially Private Statistical Inference through β-Divergence One Posterior Sampling ↗Jack Jewson, Sahra Ghalebikesabi, Chris C Holmes
  100. Diffused Task-Agnostic Milestone Planner ↗Mineui Hong, Minjae Kang, Songhwai Oh

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