← Back to papers

2025 AISTATS AISTATS 2025

Minimum Empirical Divergence for Sub-Gaussian Linear Bandits

Authors

Kapilan Balagopalan , Kwang-Sung Jun

Related papers

Relating Piecewise Linear Kolmogorov Arnold Networks to ReLU Networks 2025

Parallel Backpropagation for Inverse of a Convolution with Application to Normalizing Flows 2025

Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach 2025

Planning and Learning in Risk-Aware Restless Multi-Arm Bandits 2025

HAVER: Instance-Dependent Error Bounds for Maximum Mean Estimation and Applications to Q-Learning and Monte Carlo Tree Search 2025