NeurIPS

2021–2025 確定版

著者一覧 · 国際会議 · 大学ランキング

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Machine Learning

2023 · 3,218 papers

このEditionに反映済みのmain full research papersのみ掲載しています。著者リンクは日本の大学への著者別所属根拠がある場合に限ります。

2023 · NeurIPS
On Class Distributions Induced by Nearest Neighbor Graphs for Node Classification of Tabular Data
Federico Errica
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On Computing Pairwise Statistics with Local Differential Privacy
Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Adam Sealfon
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On Convergence of Polynomial Approximations to the Gaussian Mixture Entropy
Caleb Dahlke, Jason Pacheco
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On Differentially Private Sampling from Gaussian and Product Distributions
Badih Ghazi, Xiao Hu, Ravi Kumar, Pasin Manurangsi
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On Dynamic Programming Decompositions of Static Risk Measures in Markov Decision Processes
Jia Lin Hau, Erick Delage, Mohammad Ghavamzadeh, Marek Petrik
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On Evaluating Adversarial Robustness of Large Vision-Language Models
Yunqing Zhao, Tianyu Pang, Chao Du, Xiao Yang, Chongxuan LI, Ngai-Man (Man) Cheung, Min Lin
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On Generalization Bounds for Projective Clustering
Maria Sofia Bucarelli, Matilde Larsen, Chris Schwiegelshohn, Mads Toftrup
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On Imitation in Mean-field Games
Giorgia Ramponi, Pavel Kolev, Olivier Pietquin, Niao He, Mathieu Lauriere, Matthieu Geist
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On Learning Latent Models with Multi-Instance Weak Supervision
Kaifu Wang, Efthymia Tsamoura, Dan Roth
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On Learning Necessary and Sufficient Causal Graphs
Hengrui Cai, Yixin Wang, Michael I. Jordan, Rui Song
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On Masked Pre-training and the Marginal Likelihood
Pablo Moreno-Muñoz, Pol Garcia Recasens, Søren Hauberg
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On Measuring Fairness in Generative Models
Christopher Teo, Milad Abdollahzadeh, Ngai-Man (Man) Cheung
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On Private and Robust Bandits
Yulian Wu, Xingyu Zhou, Youming Tao, Di Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On Proper Learnability between Average- and Worst-case Robustness
Vinod Raman, UNIQUE SUBEDI, Ambuj Tewari
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On Robust Streaming for Learning with Experts: Algorithms and Lower Bounds
David Woodruff, Fred Zhang, Samson Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling and Beyond
Thanh Nguyen-Tang, Raman Arora
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On Separate Normalization in Self-supervised Transformers
Xiaohui Chen, Yinkai Wang, Yuanqi Du, Soha Hassoun, Liping Liu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On Single-Index Models beyond Gaussian Data
Aaron Zweig, Loucas PILLAUD-VIVIEN, Joan Bruna
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On Slicing Optimality for Mutual Information
Ammar Fayad, Majd Ibrahim
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On Sparse Modern Hopfield Model
Jerry Yao-Chieh Hu, Donglin Yang, Dennis Wu, Chenwei Xu, Bo-Yu Chen, Han Liu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On Transfer of Adversarial Robustness from Pretraining to Downstream Tasks
Laura F. Nern, Harsh Raj, Maurice André Georgi, Yash Sharma
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On kernel-based statistical learning theory in the mean field limit
Christian Fiedler, Michael Herty, Sebastian Trimpe
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On permutation symmetries in Bayesian neural network posteriors: a variational perspective
Simone Rossi, Ankit Singh, Thomas Hannagan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On quantum backpropagation, information reuse, and cheating measurement collapse
Amira Abbas, Robbie King, Hsin-Yuan Huang, William J. Huggins, Ramis Movassagh, Dar Gilboa, Jarrod McClean
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On skip connections and normalisation layers in deep optimisation
Lachlan MacDonald, Jack Valmadre, Hemanth Saratchandran, Simon Lucey
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On student-teacher deviations in distillation: does it pay to disobey?
Vaishnavh Nagarajan, Aditya K Menon, Srinadh Bhojanapalli, Hossein Mobahi, Sanjiv Kumar
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On the Ability of Graph Neural Networks to Model Interactions Between Vertices
Noam Razin, Tom Verbin, Nadav Cohen
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On the Adversarial Robustness of Out-of-distribution Generalization Models
Xin Zou, Weiwei Liu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On the Asymptotic Learning Curves of Kernel Ridge Regression under Power-law Decay
Yicheng Li, haobo Zhang, Qian Lin
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On the Complexity of Differentially Private Best-Arm Identification with Fixed Confidence
Achraf Azize, Marc Jourdan, Aymen Al Marjani, Debabrota Basu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On the Connection between Pre-training Data Diversity and Fine-tuning Robustness
Vivek Ramanujan, Thao Nguyen, Sewoong Oh, Ali Farhadi, Ludwig Schmidt
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On the Consistency of Maximum Likelihood Estimation of Probabilistic Principal Component Analysis
Arghya Datta, Sayak Chakrabarty
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On the Constrained Time-Series Generation Problem
Andrea Coletta, Sriram Gopalakrishnan, Daniel Borrajo, Svitlana Vyetrenko
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with $\epsilon$-Greedy Exploration
Shuai Zhang, Hongkang Li, Meng Wang, Miao Liu, Pin-Yu Chen, Songtao Lu, Sijia Liu, Keerthiram Murugesan, Subhajit Chaudhury
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On the Convergence of Black-Box Variational Inference
Kyurae Kim, Jisu Oh, Kaiwen Wu, Yian Ma, Jacob Gardner
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On the Convergence of CART under Sufficient Impurity Decrease Condition
Rahul Mazumder, Haoyue Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On the Convergence of Encoder-only Shallow Transformers
Yongtao Wu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On the Convergence of No-Regret Learning Dynamics in Time-Varying Games
Ioannis Anagnostides, Ioannis Panageas, Gabriele Farina, Tuomas Sandholm
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On the Convergence to a Global Solution of Shuffling-Type Gradient Algorithms
Lam Nguyen, Trang H. Tran
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On the Exploitability of Instruction Tuning
Manli Shu, Jiongxiao Wang, Chen Zhu, Jonas Geiping, Chaowei Xiao, Tom Goldstein
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On the Exploration of Local Significant Differences For Two-Sample Test
Zhijian Zhou, Jie Ni, Jia-He Yao, Wei Gao
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On the Generalization Error of Stochastic Mirror Descent for Quadratically-Bounded Losses: an Improved Analysis
Ta Duy Nguyen, Alina Ene, Huy Nguyen
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On the Generalization Properties of Diffusion Models
Puheng Li, Zhong Li, Huishuai Zhang, Jiang Bian
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On the Gini-impurity Preservation For Privacy Random Forests
XinRan Xie, Man-Jie Yuan, Xuetong Bai, Wei Gao, Zhi-Hua Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On the Identifiability and Interpretability of Gaussian Process Models
Jiawen Chen, Wancen Mu, Yun Li, Didong Li
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On the Identifiability of Sparse ICA without Assuming Non-Gaussianity
Ignavier Ng, Yujia Zheng, Xinshuai Dong, Kun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On the Implicit Bias of Linear Equivariant Steerable Networks
Ziyu Chen, Wei Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On the Importance of Exploration for Generalization in Reinforcement Learning
Yiding Jiang, J. Zico Kolter, Roberta Raileanu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On the Importance of Feature Separability in Predicting Out-Of-Distribution Error
RENCHUNZI XIE, Hongxin Wei, Lei Feng, Yuzhou Cao, Bo An
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On the Interplay between Social Welfare and Tractability of Equilibria
Ioannis Anagnostides, Tuomas Sandholm
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On the Last-iterate Convergence in Time-varying Zero-sum Games: Extra Gradient Succeeds where Optimism Fails
Yi Feng, Hu Fu, Qun Hu, Ping Li, Ioannis Panageas, bo peng, Xiao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On the Learnability of Multilabel Ranking
Vinod Raman, UNIQUE SUBEDI, Ambuj Tewari
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On the Minimax Regret for Online Learning with Feedback Graphs
Khaled Eldowa, Emmanuel Esposito, Tom Cesari, Nicolò Cesa-Bianchi
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On the Overlooked Pitfalls of Weight Decay and How to Mitigate Them: A Gradient-Norm Perspective
Zeke Xie, Zhiqiang Xu, Jingzhao Zhang, Issei Sato, Masashi Sugiyama
Machine Learning
日本大学: 東京大学
2023 · NeurIPS
On the Overlooked Structure of Stochastic Gradients
Zeke Xie, Qian-Yuan Tang, Mingming Sun, Ping Li
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On the Pareto Front of Multilingual Neural Machine Translation
Liang Chen, Shuming Ma, Dongdong Zhang, Furu Wei, Baobao Chang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On the Planning Abilities of Large Language Models - A Critical Investigation
Karthik Valmeekam, Matthew Marquez, Sarath Sreedharan, Subbarao Kambhampati
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On the Power of SVD in the Stochastic Block Model
Xinyu Mao, Jiapeng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection
Sangha Park, Jisoo Mok, Dahuin Jung, Saehyung Lee, Sungroh Yoon
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On the Properties of Kullback-Leibler Divergence Between Multivariate Gaussian Distributions
Yufeng Zhang, Jialu Pan, Li Ken Li, Wanwei Liu, Zhenbang Chen, Xinwang Liu, J Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On the Relationship Between Relevance and Conflict in Online Social Link Recommendations
Yanbang Wang, Jon M. Kleinberg
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On the Robustness of Mechanism Design under Total Variation Distance
Anuran Makur, Marios Mertzanidis, Alexandros Psomas, Athina Terzoglou
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On the Robustness of Removal-Based Feature Attributions
Chris Lin, Ian Covert, Su-In Lee
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On the Role of Entanglement and Statistics in Learning
Srinivasan Arunachalam, Vojtech Havlicek, Louis Schatzki
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On the Role of Noise in the Sample Complexity of Learning Recurrent Neural Networks: Exponential Gaps for Long Sequences
Alireza F. Pour, Hassan Ashtiani
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On the Role of Randomization in Adversarially Robust Classification
Lucas Gnecco Heredia, Muni Sreenivas Pydi, Laurent Meunier, Benjamin Negrevergne, Yann Chevaleyre
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On the Size and Approximation Error of Distilled Datasets
Alaa Maalouf, Murad Tukan, Noel Loo, Ramin Hasani, Mathias Lechner, Daniela Rus
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On the Stability-Plasticity Dilemma in Continual Meta-Learning: Theory and Algorithm
Qi CHEN, Changjian Shui, Ligong Han, Mario Marchand
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On the Statistical Consistency of Risk-Sensitive Bayesian Decision-Making
Prateek Jaiswal, Harsha Honnappa, Vinayak Rao
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On the Sublinear Regret of GP-UCB
Justin Whitehouse, Aaditya Ramdas, Steven Z. Wu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On the Trade-off of Intra-/Inter-class Diversity for Supervised Pre-training
Jieyu Zhang, Bohan Wang, Zhengyu Hu, Pang Wei W Koh, Alexander J Ratner
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On the Variance, Admissibility, and Stability of Empirical Risk Minimization
Gil Kur, Eli Putterman, Alexander Rakhlin
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On the choice of Perception Loss Function for Learned Video Compression
Sadaf Salehkalaibar, Truong Buu Phan, Jun Chen, Wei Yu, Ashish Khisti
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective
Mathieu Serrurier, Franck Mamalet, Thomas FEL, Louis Béthune, Thibaut Boissin
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On the impact of activation and normalization in obtaining isometric embeddings at initialization
Amir Joudaki, Hadi Daneshmand, Francis R. Bach
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On the spectral bias of two-layer linear networks
Aditya Vardhan Varre, Maria-Luiza Vladarean, Loucas PILLAUD-VIVIEN, Nicolas Flammarion
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
On-the-Fly Adapting Code Summarization on Trainable Cost-Effective Language Models
Yufan Cai, Yun Lin, Chenyan Liu, Jinglian Wu, Yifan Zhang, Yiming Liu, Yeyun Gong, Jin Song Dong
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
One Fits All: Power General Time Series Analysis by Pretrained LM
Tian Zhou, Peisong Niu, xue wang, Liang Sun, Rong Jin
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
One Less Reason for Filter Pruning: Gaining Free Adversarial Robustness with Structured Grouped Kernel Pruning
Shaochen (Henry) Zhong, Zaichuan You, Jiamu Zhang, Sebastian Zhao, Zachary LeClaire, Zirui Liu, Daochen Zha, Vipin Chaudhary, Shuai Xu, Xia Hu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning
Marc Rigter, Bruno Lacerda, Nick Hawes
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization
Minghua Liu, Chao Xu, Haian Jin, Linghao Chen, Mukund Varma T, Zexiang Xu, Hao Su
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models
Ba-Hien Tran, Giulio Franzese, Pietro Michiardi, Maurizio Filippone
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
One-Pass Distribution Sketch for Measuring Data Heterogeneity in Federated Learning
Zichang Liu, Zhaozhuo Xu, Benjamin Coleman, Anshumali Shrivastava
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
One-Step Diffusion Distillation via Deep Equilibrium Models
Zhengyang Geng, Ashwini Pokle, J. Zico Kolter
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation
Zhiwei Hao, Jianyuan Guo, Kai Han, Yehui Tang, Han Hu, Yunhe Wang, Chang Xu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
One-step differentiation of iterative algorithms
Jerome Bolte, Edouard Pauwels, Samuel Vaiter
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling
yifan zhang, Qingsong Wen, xue wang, Weiqi Chen, Liang Sun, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Online (Multinomial) Logistic Bandit: Improved Regret and Constant Computation Cost
Yu-Jie Zhang, Masashi Sugiyama
Machine Learning
日本大学: 東京大学
2023 · NeurIPS
Online Ad Allocation with Predictions
Fabian Spaeh, Alina Ene
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Online Ad Procurement in Non-stationary Autobidding Worlds
Jason Cheuk Nam Liang, Haihao Lu, Baoyu Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Online Adaptive Policy Selection in Time-Varying Systems: No-Regret via Contractive Perturbations
Yiheng Lin, James A. Preiss, Emile Anand, Yingying Li, Yisong Yue, Adam Wierman
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Online Clustering of Bandits with Misspecified User Models
Zhiyong Wang, Jize Xie, Xutong Liu, Shuai Li, John C.S. Lui
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Online Constrained Meta-Learning: Provable Guarantees for Generalization
Siyuan Xu, Minghui Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Online Control for Meta-optimization
Xinyi Chen, Elad Hazan
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Online Convex Optimization with Unbounded Memory
Raunak Kumar, Sarah Dean, Robert D. Kleinberg
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Online Corrupted User Detection and Regret Minimization
Zhiyong Wang, Jize Xie, Tong Yu, Shuai Li, John C.S. Lui
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Online Inventory Problems: Beyond the i.i.d. Setting with Online Convex Optimization
Massil HIHAT, Stéphane Gaïffas, Guillaume Garrigos, Simon Bussy
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms
Dheeraj Baby, Saurabh Garg, Tzu-Ching Yen, Sivaraman Balakrishnan, Zachary Lipton, Yu-Xiang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Online Learning under Adversarial Nonlinear Constraints
Pavel Kolev, Georg Martius, Michael Muehlebach
Machine Learning
日本大学: 関与なし（対象大学）
2023 · NeurIPS
Online List Labeling with Predictions
Samuel McCauley, Ben Moseley, Aidin Niaparast, Shikha Singh
Machine Learning
日本大学: 関与なし（対象大学）