publication venue for
- Uncertainty Quantification for Bayesian Optimization 2022
- Approximate Top-m Arm Identification with Heterogeneous Reward Variances 2022
- Matrix Completion with Model-free Weighting 2021
- Bayesian Active Learning by Soft Mean Objective Cost of Uncertainty 2021
- Decentralized Riemannian Gradient Descent on the Stiefel Manifold 2021
- Generalization Guarantees for Sparse Kernel Approximation with Entropic Optimal Features 2020
- Bayesian Graph Neural Networks with Adaptive Connection Sampling 2020
- On the Dynamics of Gradient Descent for Autoencoders 2019