NeurIPS

2022–2026 LIVE

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Machine Learning

2025 · 5,286 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。

2025 · NeurIPS
Preconditioned Langevin Dynamics with Score-based Generative Models for Infinite-Dimensional Linear Bayesian Inverse Problems
Lorenzo Baldassari, Josselin Garnier, Knut Solna, Maarten V. de Hoop
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Predictability Enables Parallelization of Nonlinear State Space Models
Xavier Gonzalez, Leo Kozachkov, David Zoltowski, Kenneth Clarkson, Scott Linderman
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Predictable Scale (Part II) --- Farseer: A Refined Scaling Law in LLMs
Houyi Li, Wenzhen Zheng, Qiufeng Wang, Zhenyu Ding, Haoying Wang, Zili Wang, Shijie Xuyang, Ning DING, Shuigeng Zhou, Xiangyu Zhang, Daxin Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Predicting Empirical AI Research Outcomes with Language Models
Jiaxin Wen, Chenglei Si, Yueh-Han Chen, He He, Shi Feng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Predicting Functional Brain Connectivity with Context-Aware Deep Neural Networks
Alexander Ratzan, Sidharth Goel, Junhao Wen, Christos Davatzikos, Erdem Varol
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Predicting partially observable dynamical systems via diffusion models with a multiscale inference scheme
Rudy Morel, Francesco Ramunno, Jeff Shen, Alberto Bietti, Kyunghyun Cho, Miles Cranmer, Siavash Golkar, OLEXANDR GUGNIN, Geraud Krawezik, Tanya Marwah, Michael McCabe, Lucas Meyer, Payel Mukhopadhyay, Ruben Ohana, Liam H. Parker, Helen Qu, François Rozet, K.D. Leka, Francois Lanusse, David F. Fouhey, Shirley Ho
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Predicting the Performance of Black-box Language Models with Follow-up Queries
Dylan Sam, Marc Finzi, Zico Kolter
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Prediction with expert advice under additive noise
Alankrita Bhatt, Victoria Kostina
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Prediction-Powered Causal Inferences
Riccardo Cadei, Ilker Demirel, Piersilvio De Bartolomeis, Lukas Lindorfer, Sylvia Cremer, Cordelia Schmid, Francesco Locatello
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Prediction-Powered Semi-Supervised Learning with Online Power Tuning
Noa Shoham, Ron Dorfman, Shalev Shaer, Kfir Y. Levy, Yaniv Romano
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Predictive Coding Enhances Meta-RL To Achieve Interpretable Bayes-Optimal Belief Representation Under Partial Observability
Po-Chen Kuo, Han Hou, Will Dabney, Edgar Walker
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Predictive Preference Learning from Human Interventions
Haoyuan Cai, Zhenghao (Mark) Peng, Bolei Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Preference Distillation via Value based Reinforcement Learning
Minchan Kwon, Junwon Ko, Kangil kim, Junmo Kim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Preference Learning with Lie Detectors can Induce Honesty or Evasion
Chris Cundy, Adam Gleave
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Preference Learning with Response Time: Robust Losses and Guarantees
Ayush Sawarni, Sahasrajit Sarmasarkar, Vasilis Syrgkanis
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Preference Optimization by Estimating the Ratio of the Data Distribution
Yeongmin Kim, HeeSun Bae, Byeonghu Na, Il-chul Moon
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Preference Optimization on Pareto Sets: On a Theory of Multi-Objective Optimization
Abhishek Roy, Geelon So, Yian Ma
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Preference-Based Dynamic Ranking Structure Recognition
Nan Lu, Jian Shi, Xinyu Tian
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Preference-Driven Multi-Objective Combinatorial Optimization with Conditional Computation
Mingfeng Fan, Jianan Zhou, Yifeng Zhang, Yaoxin Wu, Jinbiao Chen, Guillaume Sartoretti
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Preference-Guided Diffusion for Multi-Objective Offline Optimization
Yashas Annadani, Syrine Belakaria, Stefano Ermon, Stefan Bauer, Barbara Engelhardt
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Preference-based Reinforcement Learning beyond Pairwise Comparisons: Benefits of Multiple Options
Joongkyu Lee, Seouh-won Yi, Min-hwan Oh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Preference-driven Knowledge Distillation for Few-shot Node Classification
Xing Wei, Chunchun Chen, Rui Fan, Xiaofeng Cao, Sourav Medya, Wei Ye
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
PrefixKV: Adaptive Prefix KV Cache is What Vision Instruction-Following Models Need for Efficient Generation
Ao Wang, Hui Chen, Jianchao Tan, Kefeng Zhang, Xunliang Cai, Zijia Lin, Jungong Han, guiguang ding
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Preserving LLM Capabilities through Calibration Data Curation: From Analysis to Optimization
Bowei He, Lihao Yin, Hui-Ling Zhen, Shuqi LIU, Han Wu, Xiaokun Zhang, Mingxuan Yuan, Chen Ma
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Preserving Task-Relevant Information Under Linear Concept Removal
Floris Holstege, Shauli Ravfogel, Bram Wouters
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Pretraining a Shared Q-Network for Data-Efficient Offline Reinforcement Learning
Jongchan Park, Mingyu Park, Donghwan Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Preventing Shortcuts in Adapter Training via Providing the Shortcuts
Anujraaj Goyal, Guocheng Qian, Huseyin Coskun, Aarush Gupta, Himmy Tam, Daniil Ostashev, Ju Hu, Dhritiman Sagar, Sergey Tulyakov, Kfir Aberman, Kuan-Chieh Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Price of Parsimony: Complexity of Fourier Sparsity Testing
Arijit Ghosh, Manmatha Roy
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Principled Data Augmentation for Learning to Solve Quadratic Programming Problems
Chendi Qian, Christopher Morris
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Principled Fine-tuning of LLMs from User-Edits: A Medley of Preference, Supervision, and Reward
Dipendra Misra, Aldo Pacchiano, Ta-Chung Chi, Ge Gao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Principled Long-Tailed Generative Modeling via Diffusion Models
Pranoy Das, Kexin Fu, Abolfazl Hashemi, Vijay Gupta
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Principled Model Routing for Unknown Mixtures of Source Domains
Christoph Dann, Yishay Mansour, Teodor Vanislavov Marinov, Mehryar Mohri
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Prior Forgetting and In-Context Overfitting
Sungyoon Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Prior-Guided Diffusion Planning for Offline Reinforcement Learning
Donghyeon Ki, JunHyeok Oh, Seong-Woong Shim, Byung-Jun Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Prior-Guided Flow Matching for Target-Aware Molecule Design with Learnable Atom Number
Jingyuan Zhou, Hao Qian, Shikui Tu, Lei Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Prioritizing Perception-Guided Self-Supervision: A New Paradigm for Causal Modeling in End-to-End Autonomous Driving
Yi Huang, Zhan Qu, Lihui Jiang, Bingbing Liu, Hongbo Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Prismatic Synthesis: Gradient-based Data Diversification Boosts Generalization in LLM Reasoning
Jaehun Jung, Seungju Han, Ximing Lu, Skyler Hallinan, David Acuna, Shrimai Prabhumoye, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro, Yejin Choi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Privacy Reasoning in Ambiguous Contexts
Ren Yi, Octavian Suciu, Adrian Gascon, Sarah Meiklejohn, Eugene Bagdasarian, Marco Gruteser
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Privacy amplification by random allocation
Moshe Shenfeld, Vitaly Feldman
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Private Continual Counting of Unbounded Streams
Ben Jacobsen, Kassem Fawaz
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Private Evolution Converges
Tomás González Lara, Giulia Fanti, Aaditya Ramdas
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Private Geometric Median in Nearly-Linear Time
Syamantak Kumar, Daogao Liu, Kevin Tian, Chutong Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Private Hyperparameter Tuning with Ex-Post Guarantee
Badih Ghazi, Pritish Kamath, Alexander Knop, Ravi Kumar, Pasin Manurangsi, Chiyuan Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Private Online Learning against an Adaptive Adversary: Realizable and Agnostic Settings
Bo Li, Wei Wang, Peng Ye
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Private Set Union with Multiple Contributions
Travis Dick, Haim Kaplan, Alex Kulesza, Uri Stemmer, Ziteng Sun, Ananda Theertha Suresh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Private Statistical Estimation via Truncation
Manolis Zampetakis, Felix Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Private Training Large-scale Models with Efficient DP-SGD
Liangyu Wang, Junxiao Wang, Jie Ren, Zihang Xiang, David Keyes, Di Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Private Zeroth-Order Optimization with Public Data
Xuchen Gong, Tian Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Pro3D-Editor: A Progressive-Views Perspective for Consistent and Precise 3D Editing
Yang Zheng, Mengqi Huang, Nan Chen, Zhendong Mao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ProDAG: Projected Variational Inference for Directed Acyclic Graphs
Ryan Thompson, Edwin V. Bonilla, Robert Kohn
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ProDyG: Progressive Dynamic Scene Reconstruction via Gaussian Splatting from Monocular Videos
Shi Chen, Erik Sandström, Sandro Lombardi, Siyuan Li, Martin R. Oswald
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models
Mingjie Liu, Shizhe Diao, Ximing Lu, Jian Hu, Xin Dong, Yejin Choi, Jan Kautz, Yi Dong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ProSpero: Active Learning for Robust Protein Design Beyond Wild-Type Neighborhoods
Michal Kmicikiewicz, Vincent Fortuin, Ewa Szczurek
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Probabilistic Reasoning with LLMs for Privacy Risk Estimation
Jonathan Zheng, Alan Ritter, Sauvik Das, Wei "Coco" Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Probabilistic Stability Guarantees for Feature Attributions
Helen Jin, Anton Xue, Weiqiu You, Surbhi Goel, Eric Wong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Probabilistic Token Alignment for Large Language Model Fusion
Runjia Zeng, James Liang, Cheng Han, Zhiwen Cao, Jiahao Liu, Xiaojun Quan, Yingjie Victor Chen, Lifu Huangg, Tong Geng, Qifan Wang, Dongfang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Probably Approximately Precision and Recall Learning
Lee Cohen, Yishay Mansour, Shay Moran, Han Shao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Probing Equivariance and Symmetry Breaking in Convolutional Networks
Sharvaree Vadgama, Mohammad Islam, Domas Buracas, Christian A Shewmake, Artem Moskalev, Erik Bekkers
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Probing Hidden Knowledge Holes in Unlearned LLMs
Myeongseob Ko, Hoang Anh Just, Charles Fleming, Ming Jin, Ruoxi Jia
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Probing Neural Combinatorial Optimization Models
Zhiqin Zhang, Yining Ma, Zhiguang Cao, Hoong Chuin Lau
Machine Learning
日本大学: 東北大学
2025 · NeurIPS
Problem-Parameter-Free Decentralized Bilevel Optimization
Zhiwei Zhai, Wenjing Yan, Ying-Jun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning
Wenlin Zhang, Xiangyang Li, Kuicai Dong, Yichao Wang, Pengyue Jia, Xiaopeng Li, Yingyi Zhang, Derong Xu, Zhaocheng Du, Huifeng Guo, Ruiming Tang, Xiangyu Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Procurement Auctions with Predictions: Improved Frugality for Facility Location
Eric Balkanski, Nicholas DeFilippis, Vasilis Gkatzelis, Xizhi Tan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Product Distribution Learning with Imperfect Advice
Arnab Bhattacharyya, XianJun Davin Choo, Philips George John, Themis Gouleakis
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ProfiX: Improving Profile-Guided Optimization in Compilers with Graph Neural Networks
Huiri Tan, Juyong Jiang, Jiasi Shen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Program Synthesis via Test-Time Transduction
Kang-il Lee, Jahyun Koo, Seunghyun Yoon, Minbeom Kim, Hyukhun Koh, Dongryeol Lee, Kyomin Jung
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Progress Reward Model for Reinforcement Learning via Large Language Models
Xiuhui Zhang, Ning Gao, Xingyu Jiang, Yihui Chen, Yuheng Pan, Mohan Zhang, Yue Deng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Progressive Data Dropout: An Embarrassingly Simple Approach to Train Faster
Shriram M S, Xinyue Hao, Shihao Hou, Yang Lu, Laura Sevilla-Lara, Anurag Arnab, Shreyank Gowda
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Progressive Inference-Time Annealing of Diffusion Models for Sampling from Boltzmann Densities
Tara Akhound-Sadegh, Jungyoon Lee, Joey Bose, Valentin De Bortoli, Arnaud Doucet, Michael Bronstein, Dominique Beaini, Siamak Ravanbakhsh, Kirill Neklyudov, Alexander Tong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Projecting Assumptions: The Duality Between Sparse Autoencoders and Concept Geometry
Sai Sumedh R. Hindupur, Ekdeep S Lubana, Thomas Fel, Demba Ba
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Projection-Manifold Regularized Latent Diffusion for Robust General Image Fusion
Lei Cao, Hao Helen Zhang, Chunyu Li, Jiayi Ma
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Projection-based Lyapunov method for fully heterogeneous weakly-coupled MDPs
Xiangcheng Zhang, Yige Hong, Weina Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Projective Equivariant Networks via Second-order Fundamental Differential Invariants
Yikang Li, Yeqing Qiu, Yuxuan Chen, Lingshen He, Lexiang Hu, Zhouchen Lin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Prompt Tuning Decision Transformers with Structured and Scalable Bandits
Finn Rietz, Oleg Smirnov, Sara Karimi, Lele Cao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Prompt Tuning Transformers for Data Memorization
Haiyu Wang, Yuanyuan Lin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Prompt-Guided Alignment with Information Bottleneck Makes Image Compression Also a Restorer
Xuelin Shen, Quan Liu, Jiayin Xu, Wenhan Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Prompt-guided Disentangled Representation for Action Recognition
tianci wu, Guangming Zhu, Lu jiang, Siyuan Wang, Ning Wang, Nuoye Xiong, Liang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Promptable 3-D Object Localization with Latent Diffusion Models
Cheng-Yao Hong, Li-Heng Wang, Tyng-Luh Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Prompted Policy Search: Reinforcement Learning through Linguistic and Numerical Reasoning in LLMs
Yifan Zhou, Sachin Grover, Mohamed El Mistiri, Kamalesh Kalirathinam, Pratyush Kerhalkar, Swaroop Mishra, Neelesh Kumar, Sanket Gaurav, Oya Aran, Heni Ben Amor
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Proper Hölder-Kullback Dirichlet Diffusion: A Framework for High Dimensional Generative Modeling
Wanpeng Zhang, Yuhao Fang, Xihang Qiu, Jiarong Cheng, Jialong Hong, Bin Zhai, Qing Zhou, Yao Lu, Ye Zhang, Chun Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Prot2Text-V2: Protein Function Prediction with Multimodal Contrastive Alignment
Xiao Fei, Michail Chatzianastasis, Sarah Carneiro, Hadi Abdine, Lawrence Petalidis, Michalis Vazirgiannis
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ProtInvTree: Deliberate Protein Inverse Folding with Reward-guided Tree Search
Mengdi Liu, Xiaoxue Cheng, Zhangyang Gao, Hong Chang, Cheng Tan, Shiguang Shan, Xilin Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Protein Design with Dynamic Protein Vocabulary
Nuowei Liu, Jiahao Kuang, Yanting Liu, Tao Ji, Changzhi Sun, Man Lan, Yuanbin Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Protein Inverse Folding From Structure Feedback
Junde Xu, Zijun Gao, Xinyi Zhou, hujie, Xingyi Cheng, Le Song, Guangyong Chen, Pheng-Ann Heng, Jiezhong Qiu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ProtoPairNet: Interpretable Regression through Prototypical Pair Reasoning
Rose Gurung, Ronilo Ragodos, Chiyu Ma, Tong Wang, Chaofan Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Protocols for Verifying Smooth Strategies in Bandits and Games
Miranda Christ, Daniel Reichman, Jonathan Shafer
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Provable Gradient Editing of Deep Neural Networks
Zhe Tao, Aditya V Thakur
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Provable Meta-Learning with Low-Rank Adaptations
Jacob Block, Sundararajan Srinivasan, Liam Collins, Aryan Mokhtari, Sanjay Shakkottai
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Provable Ordering and Continuity in Vision-Language Pretraining for Generalizable Embodied Agents
Zhizhen Zhang, Lei Zhu, Zhen Fang, Zi Huang, Yadan Luo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Provable Sample-Efficient Transfer Learning Conditional Diffusion Models via Representation Learning
Ziheng Cheng, Tianyu Xie, Shiyue Zhang, Cheng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Provable Scaling Laws for the Test-Time Compute of Large Language Models
Yanxi Chen, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Provable Watermarking for Data Poisoning Attacks
Yifan Zhu, Lijia Yu, Xiao-Shan Gao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Provably Efficient Multi-Task Meta Bandit Learning via Shared Representations
Jiabin Lin, Shana Moothedath
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Provably Efficient Online RLHF with One-Pass Reward Modeling
Long-Fei Li, Yu-Yang Qian, Peng Zhao, Zhi-Hua Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Provably Efficient RL under Episode-Wise Safety in Constrained MDPs with Linear Function Approximation
Toshinori Kitamura, Arnob Ghosh, Tadashi Kozuno, Wataru Kumagai, Kazumi Kasaura, Kenta Hoshino, Yohei Hosoe, Yutaka Matsuo
Machine Learning
日本大学: 東京科学大学 / 京都大学 / 東京大学
2025 · NeurIPS
Proximalized Preference Optimization for Diverse Feedback Types: A Decomposed Perspective on DPO
Kaiyang Guo, Yinchuan Li, Zhitang Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Proxy Target: Bridging the Gap Between Discrete Spiking Neural Networks and Continuous Control
Zijie Xu, Tong Bu, Zecheng Hao, Jianhao Ding, Zhaofei Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
ProxySPEX: Inference-Efficient Interpretability via Sparse Feature Interactions in LLMs
Landon Butler, Abhineet Agarwal, Justin Kang, Yigit Efe Erginbas, Bin Yu, Kannan Ramchandran
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Pruning Spurious Subgraphs for Graph Out-of-Distribution Generalization
Tianjun Yao, Haoxuan Li, Yongqiang Chen, Tongliang Liu, Le Song, Eric P Xing, Zhiqiang Shen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · NeurIPS
Pruning-Robust Mamba with Asymmetric Multi-Scale Scanning Paths
Jindi Lv, Yuhao Zhou, Mingjia Shi, Zhiyuan Liang, Panpan Zhang, Xiaojiang Peng, Wangbo Zhao, Zheng Zhu, Jiancheng Lv, Qing Ye, Kai Wang
Machine Learning
日本大学: 関与なし（対象大学）