Caleb Ju

13 papers Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Actor-Accelerated Policy Dual Averaging for Reinforcement Learning in Continuous Action Spaces.
CoRR
Ji Gao, Caleb Ju, Guanghui Lan, Zhaohui Tong
2025 J jnl
A Model-Free First-Order Method for Linear Quadratic Regulator with \(\boldsymbol{\tilde {O}(1/\varepsilon )}\) Sampling Complexity.
SIAM J. Control. Optim.
Caleb Ju, Georgios Kotsalis, Guanghui Lan
2025 J jnl
Auto-exploration for online reinforcement learning.
CoRR
Caleb Ju, Guanghui Lan
2025 J jnl
Communication Lower Bounds for Nested Bilinear Algorithms via Rank Expansion of Kronecker Products.
Found. Comput. Math.
Caleb Ju, Yifan Zhang, Edgar Solomonik
2025 — conf
Learning a Local Trading Strategy: Deep Reinforcement Learning for Grid-scale Renewable Energy Integration.
HICSS
Caleb Ju, Constance Crozier
2025 J jnl
Preconditioning via Randomized Range Deflation (RandRAND).
CoRR
Oleg Balabanov, Caleb Ju, Kaiwen He, Aryaman Jeendgar, Michael W. Mahoney
2024 J jnl
Learning a local trading strategy: deep reinforcement learning for grid-scale renewable energy integration.
CoRR
Caleb Ju, Constance Crozier
2024 J jnl
Strongly-Polynomial Time and Validation Analysis of Policy Gradient Methods.
CoRR
Caleb Ju, Guanghui Lan
2023 J jnl
Efficient parallel implementation of the multiplicative weight update method for graph-based linear programs.
CoRR
Caleb Ju, Serif Yesil, Mengyuan Sun, Chandra Chekuri, Edgar Solomonik
2021 J jnl
Communication Lower Bounds for Nested Bilinear Algorithms.
CoRR
Caleb Ju, Yifan Zhang, Edgar Solomonik
2021 J jnl
Implicit Regularization of Bregman Proximal Point Algorithm and Mirror Descent on Separable Data.
CoRR
Yan Li, Caleb Ju, Ethan X. Fang, Tuo Zhao
2020 J jnl
Derivation and Analysis of Fast Bilinear Algorithms for Convolution.
SIAM Rev.
Caleb Ju, Edgar Solomonik
2019 J jnl
Derivation and Analysis of Fast Bilinear Algorithms for Convolution.
CoRR
Caleb Ju, Edgar Solomonik