Saved in:
| Main Authors: | Jin, Tongtong, Subramanyam, Anirudh, Maldonado, D. Adrian |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.03807 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Chance-Constrained DC Optimal Power Flow Using Constraint-Informed Statistical Estimation
by: Yi, Tianyang, et al.
Published: (2025)
by: Yi, Tianyang, et al.
Published: (2025)
Machine Learning-Enabled Large-Scale Capacity Expansion Planning under Uncertainty
by: Kwon, Taehyeon, et al.
Published: (2026)
by: Kwon, Taehyeon, et al.
Published: (2026)
Correction to: A Lagrangian dual method for two-stage robust optimization with binary uncertainties
by: Lefebvre, Henri, et al.
Published: (2024)
by: Lefebvre, Henri, et al.
Published: (2024)
On Solving Chance-Constrained Models with Gaussian Mixture Distribution
by: Dey, Shibshankar, et al.
Published: (2025)
by: Dey, Shibshankar, et al.
Published: (2025)
Decision-Scaled Scenario Approach for Rare Chance-Constrained Optimization
by: Choi, Jaeseok, et al.
Published: (2026)
by: Choi, Jaeseok, et al.
Published: (2026)
Extreme-Scale EV Charging Infrastructure Planning for Last-Mile Delivery Using High-Performance Parallel Computing
by: Kaleem, Waquar, et al.
Published: (2025)
by: Kaleem, Waquar, et al.
Published: (2025)
Electric Vehicle Supply Equipment Location and Capacity Allocation for Fixed-Route Networks
by: Davatgari, Amir, et al.
Published: (2023)
by: Davatgari, Amir, et al.
Published: (2023)
Neural Embedded Mixed-Integer Optimization for Location-Routing Problems
by: Kaleem, Waquar, et al.
Published: (2024)
by: Kaleem, Waquar, et al.
Published: (2024)
Reduced Sample Complexity in Scenario-Based Control System Design via Constraint Scaling
by: Choi, Jaeseok, et al.
Published: (2024)
by: Choi, Jaeseok, et al.
Published: (2024)
Scalable Multi-Period AC Optimal Power Flow Utilizing GPUs with High Memory Capacities
by: Shin, Sungho, et al.
Published: (2024)
by: Shin, Sungho, et al.
Published: (2024)
Approximate Computation of Loss Probability for Queueing System with Capacity Sharing Discipline
by: Yashina, M. V., et al.
Published: (2024)
by: Yashina, M. V., et al.
Published: (2024)
Voltage-Aware Grid Aggregation: Expanding the European High-Voltage Network
by: Stöckl, Benjamin, et al.
Published: (2026)
by: Stöckl, Benjamin, et al.
Published: (2026)
A Feasible Reduced Space Method for Real-Time Optimal Power Flow
by: Pacaud, François, et al.
Published: (2021)
by: Pacaud, François, et al.
Published: (2021)
Probabilistic Control Barrier Functions: Safety in Probability for Discrete-Time Stochastic Systems
by: Mestres, Pol, et al.
Published: (2025)
by: Mestres, Pol, et al.
Published: (2025)
Stochastic Shortest Path Problem with Failure Probability
by: Otsubo, Ritsusamuel
Published: (2024)
by: Otsubo, Ritsusamuel
Published: (2024)
Dynamic Programming in Probability Spaces via Optimal Transport
by: Terpin, Antonio, et al.
Published: (2023)
by: Terpin, Antonio, et al.
Published: (2023)
Voltage-sensitive distribution factors for contingency analysis and topology optimization
by: Titz, Maurizio, et al.
Published: (2025)
by: Titz, Maurizio, et al.
Published: (2025)
Optimal Voltage Control Using Online Exponential Barrier Method
by: Zhang, Peng, et al.
Published: (2025)
by: Zhang, Peng, et al.
Published: (2025)
Unsafe Probabilities and Risk Contours for Stochastic Processes using Convex Optimization
by: Miller, Jared, et al.
Published: (2024)
by: Miller, Jared, et al.
Published: (2024)
Quantization Of Probability Measures In Maximum~Mean~Discrepancy Distance
by: Mehraban, Zahra, et al.
Published: (2025)
by: Mehraban, Zahra, et al.
Published: (2025)
Neural Collapse versus Low-rank Bias: Is Deep Neural Collapse Really Optimal?
by: Súkeník, Peter, et al.
Published: (2024)
by: Súkeník, Peter, et al.
Published: (2024)
Feasibility Determination for Subjective Probability Constraints
by: Kim, Taehoon, et al.
Published: (2026)
by: Kim, Taehoon, et al.
Published: (2026)
Kill-Probability-Maximization Guidance: Breaking from the Miss-Distance-Minimization Paradigm
by: Mudrik, Liraz, et al.
Published: (2026)
by: Mudrik, Liraz, et al.
Published: (2026)
Maximizing Reach-Avoid Probabilities for Linear Stochastic Systems via Control Architectures
by: Schmid, Niklas, et al.
Published: (2026)
by: Schmid, Niklas, et al.
Published: (2026)
Solving convex QPs with structured sparsity under indicator conditions
by: Bienstock, Daniel, et al.
Published: (2024)
by: Bienstock, Daniel, et al.
Published: (2024)
A Non-Iterative Algorithm for Clearing Two-Layer Energy-Sharing Markets with Voltage Constraints
by: Liu, Tonghua, et al.
Published: (2026)
by: Liu, Tonghua, et al.
Published: (2026)
High-Probability Guarantees for Random Zeroth-Order (Stochastic) Gradient Descent
by: Ye, Haishan
Published: (2026)
by: Ye, Haishan
Published: (2026)
Probable Event Constrained Optimization and A Data-embedded Solution Paradigm
by: Li, Qifeng
Published: (2022)
by: Li, Qifeng
Published: (2022)
High-Probability Polynomial-Time Complexity of Restarted PDHG for Linear Programming
by: Xiong, Zikai
Published: (2025)
by: Xiong, Zikai
Published: (2025)
Stochastic Reachability of Uncontrolled Systems via Probability Measures: Approximation via Deep Neural Networks
by: Sivaramakrishnan, Karthik, et al.
Published: (2023)
by: Sivaramakrishnan, Karthik, et al.
Published: (2023)
PACSBO: Probably approximately correct safe Bayesian optimization
by: Tokmak, Abdullah, et al.
Published: (2024)
by: Tokmak, Abdullah, et al.
Published: (2024)
Negative Curvature Methods with High-Probability Complexity Guarantees for Stochastic Nonconvex Optimization
by: Berahas, Albert S., et al.
Published: (2026)
by: Berahas, Albert S., et al.
Published: (2026)
High-Probability Guarantees for Random Zeroth-Order Gradient Descent on Smooth Functions
by: Ye, Haishan
Published: (2026)
by: Ye, Haishan
Published: (2026)
A Data-embedded Solution Paradigm for Nonconvex Probable Event Constrained Optimization
by: Li, Qifeng
Published: (2026)
by: Li, Qifeng
Published: (2026)
High-Probability Convergence Theory for Distributed Composite Optimization with Sub-Weibull Noises
by: Yu, Zhan, et al.
Published: (2025)
by: Yu, Zhan, et al.
Published: (2025)
General Procedure to Provide High-Probability Guarantees for Stochastic Saddle Point Problems
by: Li, Dongyang, et al.
Published: (2024)
by: Li, Dongyang, et al.
Published: (2024)
Finite-Horizon Partially Observable Semi-Markov Games with Risk Probability Criteria
by: Wen, Xin, et al.
Published: (2025)
by: Wen, Xin, 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)
Deterministic and Stochastic Frank-Wolfe Recursion on Probability Spaces
by: Yu, Di, et al.
Published: (2024)
by: Yu, Di, et al.
Published: (2024)
Voltage Support Procurement in Transmission Grids: Incentive Design via Online Bilevel Games
by: Jiang, Zhisen, et al.
Published: (2025)
by: Jiang, Zhisen, et al.
Published: (2025)
Similar Items
-
Chance-Constrained DC Optimal Power Flow Using Constraint-Informed Statistical Estimation
by: Yi, Tianyang, et al.
Published: (2025) -
Machine Learning-Enabled Large-Scale Capacity Expansion Planning under Uncertainty
by: Kwon, Taehyeon, et al.
Published: (2026) -
Correction to: A Lagrangian dual method for two-stage robust optimization with binary uncertainties
by: Lefebvre, Henri, et al.
Published: (2024) -
On Solving Chance-Constrained Models with Gaussian Mixture Distribution
by: Dey, Shibshankar, et al.
Published: (2025) -
Decision-Scaled Scenario Approach for Rare Chance-Constrained Optimization
by: Choi, Jaeseok, et al.
Published: (2026)