Online Mixed Discrete and Continuous Optimization: Algorithms, Regret Analysis and Applications
Fuente:
arXiv
Saved in:
| Main Authors: | Ye, Lintao, Chi, Ming, Liu, Zhi-Wei, Wang, Xiaoling, Gupta, Vijay |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Online Actuator Selection and Controller Design for Linear Quadratic Regulation with Unknown System Model
by: Ye, Lintao, et al.
Published: (2022)
by: Ye, Lintao, et al.
Published: (2022)
Learning Decentralized Linear Quadratic Regulators with $\sqrt{T}$ Regret
by: Ye, Lintao, et al.
Published: (2022)
by: Ye, Lintao, et al.
Published: (2022)
Online Convex Optimization with Memory and Limited Predictions
by: Wang, Zhengmiao, et al.
Published: (2024)
by: Wang, Zhengmiao, et al.
Published: (2024)
Model-Free Output Feedback Stabilization via Policy Gradient Methods
by: Zhang, Ankang, et al.
Published: (2026)
by: Zhang, Ankang, et al.
Published: (2026)
Model-Free Learning for the Linear Quadratic Regulator over Rate-Limited Channels
by: Ye, Lintao, et al.
Published: (2024)
by: Ye, Lintao, et al.
Published: (2024)
Power-Constrained Policy Gradient Methods for LQR
by: Verma, Ashwin, et al.
Published: (2025)
by: Verma, Ashwin, et al.
Published: (2025)
Online Convex Optimization with Heavy Tails: Old Algorithms, New Regrets, and Applications
by: Liu, Zijian
Published: (2025)
by: Liu, Zijian
Published: (2025)
Learning to Sparsify Stochastic Linear Bandits
by: Wang, Zhengmiao, et al.
Published: (2026)
by: Wang, Zhengmiao, et al.
Published: (2026)
Online Learning of Kalman Filtering: From Output to State Estimation
by: Ye, Lintao, et al.
Published: (2026)
by: Ye, Lintao, et al.
Published: (2026)
Integrating Random Regret Minimization-Based Discrete Choice Models with Mixed Integer Linear Programming for Revenue Optimization
by: Talebi, Amirreza, et al.
Published: (2024)
by: Talebi, Amirreza, et al.
Published: (2024)
Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization
by: Tran-The, Hung, et al.
Published: (2022)
by: Tran-The, Hung, et al.
Published: (2022)
Adaptivity and Universality: Problem-dependent Universal Regret for Online Convex Optimization
by: Zhao, Peng, et al.
Published: (2025)
by: Zhao, Peng, et al.
Published: (2025)
Online Distributed Optimization with Clipped Stochastic Gradients: High Probability Bound of Regrets
by: Yang, Yuchen, et al.
Published: (2024)
by: Yang, Yuchen, et al.
Published: (2024)
Regret Analysis of Policy Optimization over Submanifolds for Linearly Constrained Online LQG
by: Chang, Ting-Jui, et al.
Published: (2024)
by: Chang, Ting-Jui, et al.
Published: (2024)
Large Deviations Analysis For Regret Minimizing Stochastic Approximation Algorithms
by: Qian, Hongjiang, et al.
Published: (2024)
by: Qian, Hongjiang, et al.
Published: (2024)
Improved Dynamic Regret of Distributed Online Multiple Frank-Wolfe Convex Optimization
by: Zhang, Wentao, et al.
Published: (2023)
by: Zhang, Wentao, et al.
Published: (2023)
Small Gradient Norm Regret for Online Convex Optimization
by: Gao, Wenzhi, et al.
Published: (2026)
by: Gao, Wenzhi, et al.
Published: (2026)
Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods
by: Tarzanagh, Davoud Ataee, et al.
Published: (2022)
by: Tarzanagh, Davoud Ataee, et al.
Published: (2022)
Dynamic Regret via Discounted-to-Dynamic Reduction with Applications to Curved Losses and Adam Optimizer
by: Xie, Yan-Feng, et al.
Published: (2026)
by: Xie, Yan-Feng, et al.
Published: (2026)
Achieving Better Local Regret Bound for Online Non-Convex Bilevel Optimization
by: Jia, Tingkai, et al.
Published: (2026)
by: Jia, Tingkai, et al.
Published: (2026)
Point Convergence Analysis of the Accelerated Gradient Method for Multiobjective Optimization: Continuous and Discrete
by: Yin, Yingdong
Published: (2025)
by: Yin, Yingdong
Published: (2025)
Revisiting Regret Benchmarks in Online Non-Stochastic Control
by: Hebbar, Vijeth, et al.
Published: (2025)
by: Hebbar, Vijeth, et al.
Published: (2025)
A Simple, Optimal and Efficient Algorithm for Online Exp-Concave Optimization
by: Wang, Yi-Han, et al.
Published: (2025)
by: Wang, Yi-Han, et al.
Published: (2025)
Distributed Online Bandit Nonconvex Optimization with One-Point Residual Feedback via Dynamic Regret
by: Hua, Youqing, et al.
Published: (2024)
by: Hua, Youqing, et al.
Published: (2024)
Mix-CALADIN: A Distributed Algorithm for Consensus Mixed-Integer Optimization
by: Han, Boyu, et al.
Published: (2026)
by: Han, Boyu, et al.
Published: (2026)
Certified Inductive Synthesis for Online Mixed-Integer Optimization
by: Zamponi, Marco, et al.
Published: (2025)
by: Zamponi, Marco, et al.
Published: (2025)
Regret Minimization in Scalar, Static, Non-linear Optimization Problems
by: Wang, Ying, et al.
Published: (2024)
by: Wang, Ying, et al.
Published: (2024)
Distributed Online Stochastic Convex-Concave Optimization: Dynamic Regret Analyses under Single and Multiple Consensus Steps
by: Zhang, Wentao, et al.
Published: (2025)
by: Zhang, Wentao, et al.
Published: (2025)
Addressing Discrete Dynamic Optimization via a Logic-Based Discrete-Steepest Descent Algorithm
by: Peng, Zedong, et al.
Published: (2024)
by: Peng, Zedong, et al.
Published: (2024)
Online Min-Max Optimization: From Individual Regrets to Cumulative Saddle Points
by: Vyas, Abhijeet, et al.
Published: (2026)
by: Vyas, Abhijeet, et al.
Published: (2026)
A Mixing-Accelerated Primal-Dual Proximal Algorithm for Distributed Nonconvex Optimization
by: Ou, Zichong, et al.
Published: (2023)
by: Ou, Zichong, et al.
Published: (2023)
Decision-Focused Surrogate Modeling for Mixed-Integer Linear Optimization
by: Dixit, Shivi, et al.
Published: (2024)
by: Dixit, Shivi, et al.
Published: (2024)
Online Optimization on Hadamard Manifolds: Curvature Independent Regret Bounds on Horospherically Convex Objectives
by: Sahinoglu, Emre, et al.
Published: (2025)
by: Sahinoglu, Emre, et al.
Published: (2025)
Robust Regret Optimal Control
by: Liu, Jietian, et al.
Published: (2023)
by: Liu, Jietian, et al.
Published: (2023)
Online Nonstochastic Prediction: Logarithmic Regret via Predictive Online Least Squares
by: Pai, Chih-Fan, et al.
Published: (2026)
by: Pai, Chih-Fan, et al.
Published: (2026)
Policy Optimization in Hybrid Discrete-Continuous Action Spaces via Mixed Gradients
by: Alvo, Matias, et al.
Published: (2026)
by: Alvo, Matias, et al.
Published: (2026)
Machine Learning Algorithms for Improving Exact Classical Solvers in Mixed Integer Continuous Optimization
by: Kimiaei, Morteza, et al.
Published: (2025)
by: Kimiaei, Morteza, et al.
Published: (2025)
Constraint-Generation Policy Optimization (CGPO): Nonlinear Programming for Policy Optimization in Mixed Discrete-Continuous MDPs
by: Gimelfarb, Michael, et al.
Published: (2024)
by: Gimelfarb, Michael, et al.
Published: (2024)
One-Point Residual Feedback Algorithms for Distributed Online Convex and Non-convex Optimization
by: Wang, Yaowen, et al.
Published: (2025)
by: Wang, Yaowen, et al.
Published: (2025)
A Zeroth-order Resilient Algorithm for Distributed Online Optimization against Byzantine Edge Attacks
by: Liu, Yuhang, et al.
Published: (2025)
by: Liu, Yuhang, et al.
Published: (2025)
Similar Items
-
Online Actuator Selection and Controller Design for Linear Quadratic Regulation with Unknown System Model
by: Ye, Lintao, et al.
Published: (2022) -
Learning Decentralized Linear Quadratic Regulators with $\sqrt{T}$ Regret
by: Ye, Lintao, et al.
Published: (2022) -
Online Convex Optimization with Memory and Limited Predictions
by: Wang, Zhengmiao, et al.
Published: (2024) -
Model-Free Output Feedback Stabilization via Policy Gradient Methods
by: Zhang, Ankang, et al.
Published: (2026) -
Model-Free Learning for the Linear Quadratic Regulator over Rate-Limited Channels
by: Ye, Lintao, et al.
Published: (2024)