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 Sample-efficient Bayesian Optimisation Using Known InvariancesNeural Information Processing Systems (NeurIPS), 2024 |
 Meta Clustering of Neural BanditsKnowledge Discovery and Data Mining (KDD), 2024 |
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 Kernelized Reinforcement Learning with Order Optimal Regret BoundsNeural Information Processing Systems (NeurIPS), 2023 |
 Training-Free Neural Active Learning with Initialization-Robustness
GuaranteesInternational Conference on Machine Learning (ICML), 2023 |
 Representation-Driven Reinforcement LearningInternational Conference on Machine Learning (ICML), 2023 |
 Adaptation to Misspecified Kernel Regularity in Kernelised BanditsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Yusha Liu Aarti Singh |
 Neural-BO: A Black-box Optimization Algorithm using Deep Neural NetworksNeurocomputing (Neurocomputing), 2023 |
 Sample-Then-Optimize Batch Neural Thompson SamplingNeural Information Processing Systems (NeurIPS), 2022 |
 Graph Neural Network BanditsNeural Information Processing Systems (NeurIPS), 2022 |
 Contextual Bandits with Large Action Spaces: Made PracticalInternational Conference on Machine Learning (ICML), 2022 |
 Provably and Practically Efficient Neural Contextual BanditsInternational Conference on Machine Learning (ICML), 2022 |
 Federated Neural BanditsInternational Conference on Learning Representations (ICLR), 2022 |
 Reward-Biased Maximum Likelihood Estimation for Neural Contextual
BanditsAAAI Conference on Artificial Intelligence (AAAI), 2022 |
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