Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Sufficesby Jiin Woo, Laixi Shi, Gauri Joshi, Yuejie…
Prior-Dependent Allocations for Bayesian Fixed-Budget Best-Arm Identification in Structured Banditsby Nicolas Nguyen, Imad Aouali, András…
Large Language Model Meets Graph Neural Network in Knowledge Distillationby Shengxiang Hu, Guobing Zou, Song…
Simultaneously Achieving Group Exposure Fairness and Within-Group Meritocracy in Stochastic Banditsby Subham Pokhriyal, Shweta Jain,…
Optimizing Delegation in Collaborative Human-AI Hybrid Teamsby Andrew Fuchs, Andrea Passarella, Marco ContiFirst submitted to…
Pretrained Generative Language Models as General Learning Frameworks for Sequence-Based Tasksby Ben FauberFirst submitted to…
Loss Landscape of Shallow ReLU-like Neural Networks: Stationary Points, Saddle Escape, and Network Embeddingby Frank…
RepQuant: Towards Accurate Post-Training Quantization of Large Transformer Models via Scale Reparameterizationby Zhikai Li, Xuewen…
Improving Token-Based World Models with Parallel Observation Predictionby Lior Cohen, Kaixin Wang, Bingyi Kang, Shie…
Rethinking Propagation for Unsupervised Graph Domain Adaptationby Meihan Liu, Zeyu Fang, Zhen Zhang, Ming Gu,…