Sunil Gupta

Adaptive Acquisition Selection for Bayesian Optimization with Large Language Models

RCD: Retrieval-augmented Contextual Decoding for Truthful Generation

Reproducing Kernel Banach Space Models for Neural Networks with Application to Rademacher Complexity Analysis

Causal Discovery via Bayesian Optimization

Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning

Novel Kernel Models and Uniform Convergence Bounds for Neural Networks Beyond the Over-Parameterized Regime

Beyond the Known: Decision Making with Counterfactual Reasoning Decision Transformer