Ke Tang

11

Papers

87

Total Citations

Papers (11)

Subset Selection under Noise

Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models

Binarized Mamba-Transformer for Lightweight Quad Bayer HybridEVS Demosaicing

Efficient Robustness Evaluation via Constraint Relaxation

Log-normality and Skewness of Estimated State/Action Values in Reinforcement Learning

Mitigating Catastrophic Overfitting in Fast Adversarial Training via Label Information Elimination

DPN: Decoupling Partition and Navigation for Neural Solvers of Min-max Vehicle Routing Problems

Stochastic Composite Mirror Descent: Optimal Bounds with High Probabilities

Optimal Stochastic and Online Learning with Individual Iterates

Explicit Planning for Efficient Exploration in Reinforcement Learning

Causality-driven Hierarchical Structure Discovery for Reinforcement Learning