Caleb Ju

According to our database, Caleb Ju authored at least 11 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Actor-Accelerated Policy Dual Averaging for Reinforcement Learning in Continuous Action Spaces.

Ji Gao, Caleb Ju, Guanghui Lan, Zhaohui Tong

CoRR, March, 2026

2025

Auto-exploration for online reinforcement learning.

Caleb Ju, Guanghui Lan

CoRR, December, 2025

Preconditioning via Randomized Range Deflation (RandRAND).

Oleg Balabanov, Caleb Ju, Kaiwen He, Aryaman Jeendgar, Michael W. Mahoney

CoRR, September, 2025

Communication Lower Bounds for Nested Bilinear Algorithms via Rank Expansion of Kronecker Products.

Caleb Ju, Yifan Zhang, Edgar Solomonik

Found. Comput. Math., February, 2025

A Model-Free First-Order Method for Linear Quadratic Regulator with \(\boldsymbol{\tilde {O}(1/\varepsilon )}\) Sampling Complexity.

Caleb Ju, Georgios Kotsalis, Guanghui Lan

SIAM J. Control. Optim., 2025

Learning a Local Trading Strategy: Deep Reinforcement Learning for Grid-scale Renewable Energy Integration.

Caleb Ju, Constance Crozier

Proceedings of the 58th Hawaii International Conference on System Sciences, 2025

2024

Strongly-Polynomial Time and Validation Analysis of Policy Gradient Methods.

Caleb Ju, Guanghui Lan

CoRR, 2024

2023

Efficient parallel implementation of the multiplicative weight update method for graph-based linear programs.

Caleb Ju, Serif Yesil, Mengyuan Sun, Chandra Chekuri, Edgar Solomonik

CoRR, 2023

2021

Implicit Regularization of Bregman Proximal Point Algorithm and Mirror Descent on Separable Data.

Yan Li, Caleb Ju, Ethan X. Fang, Tuo Zhao

CoRR, 2021

Communication Lower Bounds for Nested Bilinear Algorithms.

Caleb Ju, Yifan Zhang, Edgar Solomonik

CoRR, 2021

2020

Derivation and Analysis of Fast Bilinear Algorithms for Convolution.

Caleb Ju, Edgar Solomonik

SIAM Rev., 2020