Near-Optimal Regret in Linear MDPs with Aggregate Bandit Feedbackby Asaf Cassel, Haipeng Luo, Aviv Rosenberg,…
Hyperparameter Importance Analysis for Multi-Objective AutoMLby Daphne Theodorakopoulos, Frederic Stahl, Marius LindauerFirst submitted to arxiv…
CAGES: Cost-Aware Gradient Entropy Search for Efficient Local Multi-Fidelity Bayesian Optimizationby Wei-Ting Tang, Joel A.…
LLM4ED: Large Language Models for Automatic Equation Discoveryby Mengge Du, Yuntian Chen, Zhongzheng Wang, Longfeng…
Structured Reinforcement Learning for Incentivized Stochastic Covert Optimizationby Adit Jain, Vikram KrishnamurthyFirst submitted to arxiv…
Sparse Domain Transfer via Elastic Net Regularizationby Jingwei Zhang, Farzan FarniaFirst submitted to arxiv on:…
Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recoveryby Caixing Wang, Ziliang ShenFirst submitted to…
Stochastic Bandits with ReLU Neural Networksby Kan Xu, Hamsa Bastani, Surbhi Goel, Osbert BastaniFirst submitted…
Edge Intelligence Optimization for Large Language Model Inference with Batching and Quantizationby Xinyuan Zhang, Jiang…
Automating Code Adaptation for MLOps – A Benchmarking Study on LLMsby Harsh Patel, Buvaneswari A.…