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# NeurIPS 2023: all accepted papers

3,540 papers · page 29 of 36 · the most cited first · [← NeurIPS 2023](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/)

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2801. **[A Dataset for Analyzing Streaming Media Performance over HTTP/3 Browsers ↗](https://doi.org/10.52202/075280-3410)**Sapna Chaudhary, Mukulika Maity, Sandip Chakraborty et al.
2802. **[A Dynamical System View of Langevin-Based Non-Convex Sampling ↗](https://doi.org/10.52202/075280-1787)**Mohammad Reza Karimi Jaghargh, Ya-Ping Hsieh, Andreas Krause
2803. **[A Fast and Accurate Estimator for Large Scale Linear Model via Data Averaging ↗](https://doi.org/10.52202/075280-1517)**Rui Wang, Yanyan Ouyang, Yu Panpan et al.
2804. **[A Framework for Fast and Stable Representations of Multiparameter Persistent Homology Decompositions ↗](https://doi.org/10.52202/075280-1553)**David Loiseaux, Mathieu Carrière, Andrew J. Blumberg
2805. **[A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction ↗](https://doi.org/10.52202/075280-0306)**Guillaume Huguet, Alexander A. Tong, Edward De Brouwer et al.
2806. **[A High-Resolution Dataset for Instance Detection with Multi-View Object Capture ↗](https://doi.org/10.52202/075280-1822)**Qianqian Shen, Yunhan Zhao, Nahyun Kwon et al.
2807. **[A Long N-step Surrogate Stage Reward for Deep Reinforcement Learning ↗](https://doi.org/10.52202/075280-0559)**Junmin Zhong, Ruofan Wu, Jennie Si
2808. **[A Measure-Theoretic Axiomatisation of Causality ↗](https://doi.org/10.52202/075280-1239)**Junhyung Park, Simon Buchholz, Bernhard Schölkopf et al.
2809. **[A Privacy-Friendly Approach to Data Valuation ↗](https://doi.org/10.52202/075280-2640)**Jiachen (Tianhao) Wang, Yuqing Zhu, Jiachen (Tianhao) Wang et al.
2810. **[A Randomized Approach to Tight Privacy Accounting ↗](https://doi.org/10.52202/075280-1469)**Jiachen (Tianhao) Wang, Saeed Mahloujifar, Tong Wu et al.
2811. **[A Robust and Opponent-Aware League Training Method for StarCraft II ↗](https://doi.org/10.52202/075280-2060)**Ruozi Huang, Haobo Fu, Qiang Fu et al.
2812. **[A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models ↗](https://doi.org/10.52202/075280-0036)**Alexander G. Reisach, Myriam Tami, Christof Seiler et al.
2813. **[A Simple Solution for Offline Imitation from Observations and Examples with Possibly Incomplete Trajectories ↗](https://doi.org/10.52202/075280-0028)**Kai Yan, Alexander Gerhard Schwing, Yu-Xiong Wang
2814. **[A Single-Loop Accelerated Extra-Gradient Difference Algorithm with Improved Complexity Bounds for Constrained Minimax Optimization ↗](https://doi.org/10.52202/075280-2695)**Yuanyuan Liu, Fanhua Shang, Weixin An et al.
2815. **[A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm ↗](https://doi.org/10.52202/075280-2120)**Ilias Diakonikolas, Daniel M. Kane, Jasper C. H. Lee et al.
2816. **[A State Representation for Diminishing Rewards ↗](https://doi.org/10.52202/075280-1959)**Ted Moskovitz, Samo Hromadka, Ahmed Touati et al.
2817. **[A Sublinear-Time Spectral Clustering Oracle with Improved Preprocessing Time ↗](https://doi.org/10.52202/075280-1812)**Ranran Shen, Pan Peng
2818. **[A Trichotomy for Transductive Online Learning ↗](https://doi.org/10.52202/075280-0856)**Steve Hanneke, Shay Moran, Jonathan Shafer
2819. **[A Unified Approach to Count-Based Weakly Supervised Learning ↗](https://doi.org/10.52202/075280-1680)**Vinay Shukla, Zhe Zeng, Kareem Ahmed et al.
2820. **[A Unified Detection Framework for Inference-Stage Backdoor Defenses ↗](https://doi.org/10.52202/075280-0345)**Xun Xian, Ganghua Wang, Jayanth Srinivasa et al.
2821. **[A Unified Discretization Framework for Differential Equation Approach with Lyapunov Arguments for Convex Optimization ↗](https://doi.org/10.52202/075280-1136)**Kansei Ushiyama, Shun Sato, Takayasu Matsuo
2822. **[A Unified Model and Dimension for Interactive Estimation ↗](https://doi.org/10.52202/075280-2819)**Nataly Brukhim, Miro Dudík, Aldo Pacchiano et al.
2823. **[A Unified Solution for Privacy and Communication Efficiency in Vertical Federated Learning ↗](https://doi.org/10.52202/075280-0593)**Ganyu Wang, Bin Gu, Qingsong Zhang et al.
2824. **[A Variational Perspective on High-Resolution ODEs ↗](https://doi.org/10.52202/075280-0078)**Hoomaan Maskan, Konstantinos C. Zygalakis, Alp Yurtsever
2825. **[A normative theory of social conflict ↗](https://doi.org/10.52202/075280-1975)**Sergey Shuvaev, Evgeny Amelchenko, Дмитрий Александрович Смагин et al.
2826. **[AGD: an Auto-switchable Optimizer using Stepwise Gradient Difference for Preconditioning Matrix ↗](https://doi.org/10.52202/075280-1985)**Yun Yue, Zhiling Ye, Jiadi Jiang et al.
2827. **[ARTree: A Deep Autoregressive Model for Phylogenetic Inference ↗](https://doi.org/10.52202/075280-0635)**Tianyu Xie, Cheng Zhang
2828. **[ASPEN: Breaking Operator Barriers for Efficient Parallelization of Deep Neural Networks ↗](https://doi.org/10.52202/075280-3002)**Jongseok Park, Kyungmin Bin, Gibum Park et al.
2829. **[Abide by the law and follow the flow: conservation laws for gradient flows ↗](https://doi.org/10.52202/075280-2760)**Sibylle Marcotte, Rémi Gribonval, Gabriel Peyré A
2830. **[Accelerated On-Device Forward Neural Network Training with Module-Wise Descending Asynchronism ↗](https://doi.org/10.52202/075280-2275)**Xiaohan Zhao, Hualin Zhang, Zhouyuan Huo et al.
2831. **[Accelerated Quasi-Newton Proximal Extragradient: Faster Rate for Smooth Convex Optimization ↗](https://doi.org/10.52202/075280-0356)**Ruichen Jiang, Aryan Mokhtari
2832. **[Accelerated Training via Incrementally Growing Neural Networks using Variance Transfer and Learning Rate Adaptation ↗](https://doi.org/10.52202/075280-0729)**Xin Yuan, Pedro Savarese, Michael Maire
2833. **[Accelerating Exploration with Unlabeled Prior Data ↗](https://doi.org/10.52202/075280-2947)**Qiyang Li, Jason Zhang, Dibya Ghosh et al.
2834. **[Accelerating Monte Carlo Tree Search with Probability Tree State Abstraction ↗](https://doi.org/10.52202/075280-2666)**Yangqing Fu, Ming Sun, Buqing Nie et al.
2835. **[Accelerating Motion Planning via Optimal Transport ↗](https://doi.org/10.52202/075280-3430)**An T. Le, Georgia Chalvatzaki, Armin Biess et al.
2836. **[Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples ↗](https://doi.org/10.52202/075280-0139)**Hao Sun, Alihan Hüyük, Daniel Jarrett et al.
2837. **[Achieving O(ε-1.5) Complexity in Hessian/Jacobian-free Stochastic Bilevel Optimization ↗](https://doi.org/10.52202/075280-1715)**Yifan Yang, Peiyao Xiao, Kaiyi Ji
2838. **[Action Inference by Maximising Evidence: Zero-Shot Imitation from Observation with World Models ↗](https://doi.org/10.52202/075280-2007)**Xingyuan Zhang, Philip Becker-Ehmck, Patrick van der Smagt et al.
2839. **[Active Bipartite Ranking ↗](https://doi.org/10.52202/075280-2424)**James Cheshire, Vincent Laurent, Stéphan Clémençon
2840. **[Active Observing in Continuous-time Control ↗](https://doi.org/10.52202/075280-1997)**Samuel Holt, Alihan Hüyük, Mihaela Van Der Schaar
2841. **[Active representation learning for general task space with applications in robotics ↗](https://doi.org/10.52202/075280-3533)**Yifang Chen, Yingbing Huang, Simon Du et al.
2842. **[Actively Testing Your Model While It Learns: Realizing Label-Efficient Learning in Practice ↗](https://doi.org/10.52202/075280-1364)**Dayou Yu, Weishi Shi, Qi Yu
2843. **[AdaVAE: Bayesian Structural Adaptation for Variational Autoencoders ↗](https://doi.org/10.52202/075280-0649)**Paribesh Regmi, Rui Li
2844. **[AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking ↗](https://doi.org/10.52202/075280-1281)**Yang Yu, Qi Liu, Kai Zhang et al.
2845. **[Adaptive Data Analysis in a Balanced Adversarial Model ↗](https://doi.org/10.52202/075280-1120)**Kobbi Nissim B, Uri Stemmer, Eliad Tsfadia
2846. **[Adaptive Linear Estimating Equations ↗](https://doi.org/10.52202/075280-2267)**Mufang Ying, Koulik Khamaru, Cun‐Hui Zhang
2847. **[Adaptive SGD with Polyak stepsize and Line-search: Robust Convergence and Variance Reduction ↗](https://doi.org/10.52202/075280-1148)**Xiaowen Jiang, Sebastian U. Stich
2848. **[Adaptive Selective Sampling for Online Prediction with Experts ↗](https://doi.org/10.52202/075280-0008)**Rui Castro, Fredrik Hellström, Tim van Erven
2849. **[Adversarial Resilience in Sequential Prediction via Abstention ↗](https://doi.org/10.52202/075280-0352)**Surbhi Goel, Steve Hanneke, Shay Moran et al.
2850. **[Adversarial Robustness through Random Weight Sampling ↗](https://doi.org/10.52202/075280-1637)**Yanxiang Ma, Minjing Dong, Chang Xu
2851. **[Adversarial Self-Training Improves Robustness and Generalization for Gradual Domain Adaptation ↗](https://doi.org/10.52202/075280-1622)**Lianghe Shi, Weiwei Liu
2852. **[Adversarial Training from Mean Field Perspective ↗](https://doi.org/10.52202/075280-3283)**Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
2853. **[Adversarially Robust Distributed Count Tracking via Partial Differential Privacy ↗](https://doi.org/10.52202/075280-3338)**Zhongzheng Xiong, Xiaoyi Zhu, Zengfeng Huang
2854. **[Adversarially Robust Learning with Uncertain Perturbation Sets ↗](https://doi.org/10.52202/075280-0229)**Tosca Lechner, Vinayak Pathak, Ruth Urner
2855. **[Agnostic Multi-Group Active Learning ↗](https://doi.org/10.52202/075280-0053)**Nicholas Rittler, Kamalika Chaudhuri
2856. **[Agnostically Learning Single-Index Models using Omnipredictors ↗](https://doi.org/10.52202/075280-0646)**Aravind Gollakota, Parikshit Gopalan, Adam R. Klivans et al.
2857. **[AirDelhi: Fine-Grained Spatio-Temporal Particulate Matter Dataset From Delhi For ML based Modeling ↗](https://doi.org/10.52202/075280-3298)**Sachin Kumar Chauhan, Zeel Bharatkumar Patel, Sayan Ranu et al.
2858. **[AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline Multi-Agent RL via Alternating Stationary Distribution Correction Estimation ↗](https://doi.org/10.52202/075280-3175)**Daiki E. Matsunaga, Jongmin Lee, Jaeseok Yoon et al.
2859. **[Aligning Gradient and Hessian for Neural Signed Distance Function ↗](https://doi.org/10.52202/075280-2773)**Ruian Wang, Zixiong Wang, Yunxiao Zhang et al.
2860. **[AllSim: Simulating and Benchmarking Resource Allocation Policies in Multi-User Systems ↗](https://doi.org/10.52202/075280-0039)**Jeroen Berrevoets, Daniel Jarrett, Alex Chan et al.
2861. **[Alternating Updates for Efficient Transformers ↗](https://doi.org/10.52202/075280-3352)**Cenk Baykal, Dylan J Cutler, Nishanth Dikkala et al.
2862. **[Alternation makes the adversary weaker in two-player games ↗](https://doi.org/10.52202/075280-0804)**Volkan Cevher, Ashok Cutkosky, Ali Kavis et al.
2863. **[An Adaptive Algorithm for Learning with Unknown Distribution Drift ↗](https://doi.org/10.52202/075280-0440)**Alessio Mazzetto, Eli Upfal
2864. **[An Efficient Doubly-Robust Test for the Kernel Treatment Effect ↗](https://doi.org/10.52202/075280-2619)**Diego Martinez-Taboada, Aaditya Ramdas, Edward Kennedy
2865. **[An NLP Benchmark Dataset for Assessing Corporate Climate Policy Engagement ↗](https://doi.org/10.52202/075280-1724)**Gaku Morio, Christopher D. Manning
2866. **[Analysis of Variance of Multiple Causal Networks ↗](https://doi.org/10.52202/075280-0510)**Zhongli Jiang, Dabao Zhang
2867. **[Analyzing Generalization of Neural Networks through Loss Path Kernels ↗](https://doi.org/10.52202/075280-3108)**Yilan Chen, Wei Huang, Hao Wang et al.
2868. **[Anonymous Learning via Look-Alike Clustering: A Precise Analysis of Model Generalization ↗](https://doi.org/10.52202/075280-1560)**Adel Javanmard, Vahab Mirrokni
2869. **[Anytime Model Selection in Linear Bandits ↗](https://doi.org/10.52202/075280-1282)**Parnian Kassraie, Nicolas Emmenegger, Andreas Krause et al.
2870. **[Anytime-Competitive Reinforcement Learning with Policy Prior ↗](https://doi.org/10.52202/075280-3401)**Jianyi Yang, Pengfei Li, Tongxin Li et al.
2871. **[Approximate Allocation Matching for Structural Causal Bandits with Unobserved Confounders ↗](https://doi.org/10.52202/075280-3012)**Lai Wei, Muhammad Qasim Elahi, Mahsa Ghasemi et al.
2872. **[Approximate Heavy Tails in Offline (Multi-Pass) Stochastic Gradient Descent ↗](https://doi.org/10.52202/075280-0071)**Kruno Lehman, Alain Durmus, Umut Simsekli
2873. **[Approximate inference of marginals using the IBIA framework ↗](https://doi.org/10.52202/075280-3176)**Shivani Bathla, V. Vasudevan
2874. **[Are Diffusion Models Vision-And-Language Reasoners? ↗](https://doi.org/10.52202/075280-0367)**Benno Krojer, Elinor Poole-Dayan, Vikram Voleti et al.
2875. **[Are GATs Out of Balance? ↗](https://doi.org/10.52202/075280-0505)**Nimrah Mustafa, Aleksandar Bojchevski, Rebekka Burkholz
2876. **[Asymptotically Optimal Quantile Pure Exploration for Infinite-Armed Bandits ↗](https://doi.org/10.52202/075280-0815)**X. H. Gong, Mark Sellke
2877. **[Asymptotics of Bayesian Uncertainty Estimation in Random Features Regression ↗](https://doi.org/10.52202/075280-1745)**Youngsoo Baek, Samuel Berchuck, Sayan Mukherjee
2878. **[AutoGO: Automated Computation Graph Optimization for Neural Network Evolution ↗](https://doi.org/10.52202/075280-3255)**Mohammad Salameh, Keith G. Mills, Negar Hassanpour et al.
2879. **[Automatic Integration for Spatiotemporal Neural Point Processes ↗](https://doi.org/10.52202/075280-2185)**Zihao Zhou, Rose Yu
2880. **[Autonomous Capability Assessment of Sequential Decision-Making Systems in Stochastic Settings ↗](https://doi.org/10.52202/075280-2386)**Pulkit Verma, Rushang Karia, Siddharth Srivastava
2881. **[BERT Lost Patience Won't Be Robust to Adversarial Slowdown ↗](https://doi.org/10.52202/075280-2732)**Zachary Coalson, Gabriel Ritter, Rakesh B. Bobba et al.
2882. **[Back-Modality: Leveraging Modal Transformation for Data Augmentation ↗](https://doi.org/10.52202/075280-3128)**Zhi Li, Yifan Liu, Yin Zhang
2883. **[BadTrack: A Poison-Only Backdoor Attack on Visual Object Tracking ↗](https://doi.org/10.52202/075280-1810)**Huang Bin, Jiaqian Yu, Yiwei Chen et al.
2884. **[Bandit Social Learning under Myopic Behavior ↗](https://doi.org/10.52202/075280-0456)**Kiarash Banihashem, MohammadTaghi Hajiaghayi, Suho Shin et al.
2885. **[Bandit Task Assignment with Unknown Processing Time ↗](https://doi.org/10.52202/075280-0392)**Shinji Ito, Daisuke Hatano, Hanna Sumita et al.
2886. **[BanditPAM++: Faster k-medoids Clustering ↗](https://doi.org/10.52202/075280-3208)**Mo Tiwari, Ryan Kang, Donghyun Lee et al.
2887. **[Batch Bayesian Optimization For Replicable Experimental Design ↗](https://doi.org/10.52202/075280-1584)**Zhongxiang Dai, Quoc Phong Nguyen, Sebastian Shenghong Tay et al.
2888. **[Bayesian Active Causal Discovery with Multi-Fidelity Experiments ↗](https://doi.org/10.52202/075280-2795)**Zeyu Zhang, Chaozhuo Li, Xu Chen et al.
2889. **[Bayesian Learning of Optimal Policies in Markov Decision Processes with Countably Infinite State-Space ↗](https://doi.org/10.52202/075280-0175)**Saghar Adler, Vijay Subramanian
2890. **[Bayesian Learning via Q-Exponential Process ↗](https://doi.org/10.52202/075280-3186)**Shuyi Li, Michael O'Connor, Shiwei Lan
2891. **[Bayesian Optimisation of Functions on Graphs ↗](https://doi.org/10.52202/075280-1864)**Xingchen Wan, Pierre Osselin, Henry Kenlay et al.
2892. **[Bayesian Optimization with Cost-varying Variable Subsets ↗](https://doi.org/10.52202/075280-0134)**Sebastian Shenghong Tay, Chuan-Sheng Foo, Daisuke Urano et al.
2893. **[Bayesian Risk-Averse Q-Learning with Streaming Observations ↗](https://doi.org/10.52202/075280-3319)**Yuhao Wang, Enlu Zhou
2894. **[Bayesian nonparametric (non-)renewal processes for analyzing neural spike train variability ↗](https://doi.org/10.52202/075280-2976)**David Liu, Máté Lengyel
2895. **[Benchmark of Machine Learning Force Fields for Semiconductor Simulations: Datasets, Metrics, and Comparative Analysis ↗](https://doi.org/10.52202/075280-2240)**Geonu Kim, Byunggook Na, Gunhee Kim et al.
2896. **[Beta Diffusion ↗](https://doi.org/10.52202/075280-1309)**Mingyuan Zhou, Tianqi Chen, Zhendong Wang et al.
2897. **[Better Correlation and Robustness: A Distribution-Balanced Self-Supervised Learning Framework for Automatic Dialogue Evaluation ↗](https://doi.org/10.52202/075280-2343)**Peiwen Yuan, Xinglin Wang, Jiayi Shi et al.
2898. **[Beyond Average Return in Markov Decision Processes ↗](https://doi.org/10.52202/075280-2465)**Alexandre Marthe, Aurélien Garivier, Claire Vernade
2899. **[Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions ↗](https://doi.org/10.52202/075280-1971)**Tongxin Li, Yiheng Lin, Shaolei Ren et al.
2900. **[Beyond MLE: Convex Learning for Text Generation ↗](https://doi.org/10.52202/075280-0391)**Chenze Shao, Zhengrui Ma, Min Zhang et al.

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