activity
20182025
most citedHindsight Trust Region Policy Optimization

8 citations · 10 across the 7 of their papers we have counts for

collaborators

8 papers

cs.LG2025

Stacey: Promoting Stochastic Steepest Descent via Accelerated -Smooth Nonconvex Optimization

Xinyu Luo, Cedar Site Bai, Bolian Li +3

While popular optimization methods such as SGD, AdamW, and Lion depend on steepest descent updates in either or norms, there remains a critical gap in handli…

cs.LG2025

Model Immunization from a Condition Number Perspective

Amber Yijia Zheng, Cedar Site Bai, Brian Bullins +1

Model immunization aims to pre-train models that are difficult to fine-tune on harmful tasks while retaining their utility on other non-harmful tasks. Though prior work has shown e…

math.OC2024

Faster Acceleration for Steepest Descent

Cedar Site Bai, Brian Bullins

Recent advances (Sherman, 2017; Sidford and Tian, 2018; Cohen et al., 2021) have overcome the fundamental barrier of dimension dependence in the iteration complexity of solving $\e…

math.OC2024

Tight Lower Bounds under Asymmetric High-Order Hölder Smoothness and Uniform Convexity

Cedar Site Bai, Brian Bullins

In this paper, we provide tight lower bounds for the oracle complexity of minimizing high-order Hölder smooth and uniformly convex functions. Specifically, for a function whose $p^…

cs.LG2023★ 2 cited

Federated Composite Saddle Point Optimization

Site Bai, Brian Bullins

Federated learning (FL) approaches for saddle point problems (SPP) have recently gained in popularity due to the critical role they play in machine learning (ML). Existing works mo…

cs.LG2022

Dual Convexified Convolutional Neural Networks

Site Bai, Chuyang Ke, Jean Honorio

We propose the framework of dual convexified convolutional neural networks (DCCNNs). In this framework, we first introduce a primal learning problem motivated by convexified convol…

cs.LG2019★ 8 cited

Hindsight Trust Region Policy Optimization

Hanbo Zhang, Site Bai, Xuguang Lan +2

Reinforcement Learning(RL) with sparse rewards is a major challenge. We propose \emph{Hindsight Trust Region Policy Optimization}(HTRPO), a new RL algorithm that extends the highly…

cs.RO2018

ROI-based Robotic Grasp Detection for Object Overlapping Scenes

Hanbo Zhang, Xuguang Lan, Site Bai +3

Grasp detection with consideration of the affiliations between grasps and their owner in object overlapping scenes is a necessary and challenging task for the practical use of the…