Papers
DOPL: Direct Online Preference Learning for Restless Bandits with Preference Feedback
GUOJUN XIONG, Ujwal Dinesha, Debajoy Mukherjee et al.
Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation
Eliot Xing, Vernon Luk, Jean Oh
OGBench: Benchmarking Offline Goal-Conditioned RL
Seohong Park, Kevin Frans, Benjamin Eysenbach et al.
Generalization in VAE and Diffusion Models: A Unified Information-Theoretic Analysis
Qi CHEN, Jierui Zhu, Florian Shkurti
Robustness Inspired Graph Backdoor Defense
Zhiwei Zhang, Minhua Lin, Junjie Xu et al.
DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads
Guangxuan Xiao, Jiaming Tang, Jingwei Zuo et al.
Scale-Free Graph-Language Models
Jianglin Lu, Yixuan Liu, Yitian Zhang et al.
Judge Decoding: Faster Speculative Sampling Requires Going Beyond Model Alignment
Gregor Bachmann, Sotiris Anagnostidis, Albert Pumarola et al.
One Step Diffusion via Shortcut Models
Kevin Frans, Danijar Hafner, Sergey Levine et al.
Reinforcement learning with combinatorial actions for coupled restless bandits
Lily Xu, Bryan Wilder, Elias Boutros Khalil et al.
LR0.FM: Low-Res Benchmark and Improving robustness for Zero-Shot Classification in Foundation Models
Priyank Pathak, Shyam Marjit, Shruti Vyas et al.
Agree to Disagree: Demystifying Homogeneous Deep Ensembles through Distributional Equivalence
Yipei Wang, Xiaoqian Wang
InstaTrain: Adaptive Training via Ultra-Fast Natural Annealing within Dynamical Systems
Chuan Liu, Ruibing Song, Chunshu Wu et al.
Stochastic Polyak Step-sizes and Momentum: Convergence Guarantees and Practical Performance
Dimitris Oikonomou, Nicolas Loizou
Scalable Universal T-Cell Receptor Embeddings from Adaptive Immune Repertoires
Paidamoyo Chapfuwa, Ilker Demirel, Lorenzo Pisani et al.
Diff-PIC: Revolutionizing Particle-In-Cell Nuclear Fusion Simulation with Diffusion Models
Chuan Liu, Chunshu Wu, shihui cao et al.
Learning to Steer Markovian Agents under Model Uncertainty
Jiawei Huang, Vinzenz Thoma, Zebang Shen et al.
Sharpness-Aware Minimization: General Analysis and Improved Rates
Dimitris Oikonomou, Nicolas Loizou
Looking into User’s Long-term Interests through the Lens of Conservative Evidential Learning
Dingrong Wang, Krishna Prasad Neupane, Ervine Zheng et al.
Building Math Agents with Multi-Turn Iterative Preference Learning
Wei Xiong, Chengshuai Shi, Jiaming Shen et al.
A Causal Lens for Learning Long-term Fair Policies
Jacob Lear, Lu Zhang
Competing Large Language Models in Multi-Agent Gaming Environments
Jen-tse Huang, Eric John Li, Man Ho LAM et al.
Training Nonlinear Transformers for Chain-of-Thought Inference: A Theoretical Generalization Analysis
Hongkang Li, Songtao Lu, Pin-Yu Chen et al.
Boltzmann Semantic Score: A Semantic Metric for Evaluating Large Vision Models Using Large Language Models
Ali Khajegili Mirabadi, Katherine Rich, Hossein Farahani et al.