research
∙
09/15/2023
Deep Reinforcement Learning for Efficient and Fair Allocation of Health Care Resources
Scarcity of health care resources could result in the unavoidable conseq...
share
research
∙
02/20/2023
Deep Reinforcement Learning for Cost-Effective Medical Diagnosis
Dynamic diagnosis is desirable when medical tests are costly or time-con...
research
∙
10/15/2022
Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability
Sketching is one of the most fundamental tools in large-scale machine le...
research
∙
03/22/2022
HOP: History-and-Order Aware Pre-training for Vision-and-Language Navigation
Pre-training has been adopted in a few of recent works for Vision-and-La...
research
∙
12/04/2021
Fast Graph Neural Tangent Kernel via Kronecker Sketching
Many deep learning tasks have to deal with graphs (e.g., protein structu...
research
∙
08/21/2021
Fast Sketching of Polynomial Kernels of Polynomial Degree
Kernel methods are fundamental in machine learning, and faster algorithm...
research
∙
02/17/2021
On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method
Policy gradient gives rise to a rich class of reinforcement learning (RL...
research
∙
09/21/2020
Generalized Leverage Score Sampling for Neural Networks
Leverage score sampling is a powerful technique that originates from the...
research
∙
02/13/2018