:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Bondar, Georgiy A., Halder, Abhishek
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Optimization and Control
Online Access:	https://arxiv.org/abs/2509.10626
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Stochastic Learning of Computational Resource Usage as Graph Structured Multimarginal Schrödinger Bridge
by: Bondar, Georgiy A., et al.
Published: (2024)

Nonlinear Non-Gaussian Density Steering with Input and Noise Channel Mismatch: Sinkhorn with Memory for Solving the Control-affine Schrödinger Bridge Problem
by: Bondar, Georgiy A., et al.
Published: (2026)

Sum-of-Squares Programming for Ma-Trudinger-Wang Regularity of Optimal Transport Maps
by: Shivakumar, Sachin, et al.
Published: (2024)

On the Hopf-Cole Transform for Control-affine Schrödinger Bridge
by: Teter, Alexis, et al.
Published: (2025)

Learning Concave Bid Shading Strategies in Online Auctions via Measure-valued Proximal Optimization
by: Nodozi, Iman, et al.
Published: (2025)

Schrödinger Bridge Over A Compact Connected Lie Group
by: Mahmood, Hamza, et al.
Published: (2026)

A Generalized Sinkhorn Algorithm for Mean-Field Schrödinger Bridge
by: Eldesoukey, Asmaa, et al.
Published: (2026)

Solution of the Probabilistic Lambert Problem: Connections with Optimal Mass Transport, Schrödinger Bridge and Reaction-Diffusion PDEs
by: Teter, Alexis M. H., et al.
Published: (2024)

A Unified Kantorovich Duality for Multimarginal Optimal Transport
by: Cheryala, Yehya, et al.
Published: (2026)

Schrödinger Bridge with Quadratic State Cost is Exactly Solvable
by: Teter, Alexis M. H., et al.
Published: (2024)

Weyl Calculus and Exactly Solvable Schrödinger Bridges with Quadratic State Cost
by: Teter, Alexis M. H., et al.
Published: (2024)

The Multimarginal Optimal Transport Formulation of Adversarial Multiclass Classification
by: Trillos, Nicolas Garcia, et al.
Published: (2022)

The Ground Cost for Optimal Transport of Angular Velocity
by: Elamvazhuthi, Karthik, et al.
Published: (2025)

Multi-CALF: A Policy Combination Approach with Statistical Guarantees
by: Malaniya, Georgiy, et al.
Published: (2025)

A universal policy wrapper with guarantees
by: Bolychev, Anton, et al.
Published: (2025)

Revisiting Zeroth-Order Optimization: Minimum-Variance Two-Point Estimators and Directionally Aligned Perturbations
by: Ma, Shaocong, et al.
Published: (2025)

Optimal Pattern Detection Tree for Symbolic Rule-Based Classification
by: Hong, Young-Chae, et al.
Published: (2026)

Fixed Horizon Linear Quadratic Covariance Steering in Continuous Time with Hilbert-Schmidt Terminal Cost
by: Sial, Tushar, et al.
Published: (2025)

Symmetrizing Bregman Divergence on the Cone of Positive Definite Matrices: Which Mean to Use and Why
by: Sial, Tushar, et al.
Published: (2026)

Optimal Transport for Machine Learners
by: Peyré, Gabriel
Published: (2025)

Optimal Transport for Probabilistic Circuits
by: Ciotinga, Adrian, et al.
Published: (2024)

Optimal Control for Transformer Architectures: Enhancing Generalization, Robustness and Efficiency
by: Kan, Kelvin, et al.
Published: (2025)

Benchmarking Reinforcement Learning via Stochastic Converse Optimality: Generating Systems with Known Optimal Policies
by: Ibrahim, Sinan, et al.
Published: (2026)

Optimal and Diffusion Transports in Machine Learning
by: Peyré, Gabriel
Published: (2025)

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial
by: Li, Haoyu, et al.
Published: (2026)

Optimal Power Grid Operations with Foundation Models
by: Puech, Alban, et al.
Published: (2024)

Performative Policy Gradient: Optimality in Performative Reinforcement Learning
by: Basu, Debabrota, et al.
Published: (2025)

Double-Bounded Optimal Transport for Advanced Clustering and Classification
by: Shi, Liangliang, et al.
Published: (2024)

On the Optimal Construction of Unbiased Gradient Estimators for Zeroth-Order Optimization
by: Ma, Shaocong, et al.
Published: (2025)

Combining Reinforcement Learning and Optimal Transport for the Traveling Salesman Problem
by: Goh, Yong Liang, et al.
Published: (2022)

Optimal Labeler Assignment and Sampling for Active Learning in the Presence of Imperfect Labels
by: Ahadi, Pouya, et al.
Published: (2025)

OTAD: An Optimal Transport-Induced Robust Model for Agnostic Adversarial Attack
by: Gai, Kuo, et al.
Published: (2024)

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning
by: Ding, Jianglin, et al.
Published: (2025)

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow
by: Klamkin, Michael, et al.
Published: (2025)

Isotropic Curvature Model for Understanding Deep Learning Optimization: Is Gradient Orthogonalization Optimal?
by: Su, Weijie
Published: (2025)

Nash Equilibria, Regularization and Computation in Optimal Transport-Based Distributionally Robust Optimization
by: Shafiee, Soroosh, et al.
Published: (2023)

Optimal Control Operator Perspective and a Neural Adaptive Spectral Method
by: Feng, Mingquan, et al.
Published: (2024)

Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control
by: Kamboj, Ankur, et al.
Published: (2026)

Bilevel Optimization over Saddle Points of Zero-Sum Markov Games
by: Zheng, Zihao, et al.
Published: (2026)

Differentiable Optimization for Deep Learning-Enhanced DC Approximation of AC Optimal Power Flow
by: Rosemberg, Andrew, et al.
Published: (2025)