:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Guha, Debashis
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Optimization and Control 68T05
Online Access:	https://arxiv.org/abs/2605.09968
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Reinforcement Learning with Action-Triggered Observations
by: Ryabchenko, Alexander, et al.
Published: (2025)

A Function-Space Stability Boundary for Generalization in Interpolating Learning Systems
by: Katende, Ronald
Published: (2026)

Functional role of synchronization: A mean-field control perspective
by: Mehta, Prashant, et al.
Published: (2025)

Quantization Robustness of Monotone Operator Equilibrium Networks
by: Li, James, et al.
Published: (2026)

Convergence of the Stochastic Heavy Ball Method With Approximate Gradients and/or Block Updating
by: Tadipatri, Uday Kiran Reddy, et al.
Published: (2023)

A Stability Principle for Learning under Non-Stationarity
by: Huang, Chengpiao, et al.
Published: (2023)

Leveraging Operator Learning to Accelerate Convergence of the Preconditioned Conjugate Gradient Method
by: Kopaničáková, Alena, et al.
Published: (2025)

Automated Model Selection for Generalized Linear Models
by: Schwendinger, Benjamin, et al.
Published: (2024)

Global Optimization with A Power-Transformed Objective and Gaussian Smoothing
by: Xu, Chen
Published: (2024)

Power Homotopy for Zeroth-Order Non-Convex Optimizations
by: Xu, Chen
Published: (2025)

On the existence of minimizers in shallow residual ReLU neural network optimization landscapes
by: Dereich, Steffen, et al.
Published: (2023)

On the existence of optimal shallow feedforward networks with ReLU activation
by: Dereich, Steffen, et al.
Published: (2023)

Constructive interpolation and generalization rates for neural ODEs: a control perspective
by: Álvarez-López, Antonio, et al.
Published: (2026)

Terminally constrained flow-based generative models from an optimal control perspective
by: Gao, Weiguo, et al.
Published: (2026)

Constructive Universal Approximation and Finite Sample Memorization by Narrow Deep ReLU Networks
by: Hernández, Martín, et al.
Published: (2024)

On the Robustness of Decision-Focused Learning
by: Farhat, Yehya
Published: (2023)

Thompson Sampling for Infinite-Horizon Discounted Decision Processes
by: Adelman, Daniel, et al.
Published: (2024)

Exact Sequence Interpolation with Transformers
by: Alcalde, Albert, et al.
Published: (2025)

Optimistic Training and Convergence of Q-Learning -- Extended Version
by: Mehta, Prashant, et al.
Published: (2026)

Progressive Power Homotopy for Non-convex Optimization
by: Xu, Chen
Published: (2026)

Cluster-based classification with neural ODEs via control
by: Álvarez-López, Antonio, et al.
Published: (2023)

Stability and Sensitivity Analysis of Relative Temporal-Difference Learning: Extended Version
by: Sakha, Masoud S., et al.
Published: (2026)

Mean--Variance Portfolio Selection by Continuous-Time Reinforcement Learning: Algorithms, Regret Analysis, and Empirical Study
by: Huang, Yilie, et al.
Published: (2024)

Input Convex Kolmogorov Arnold Networks
by: Deschatre, Thomas, et al.
Published: (2025)

Nesterov acceleration despite very noisy gradients
by: Gupta, Kanan, et al.
Published: (2023)

Generative modeling of conditional probability distributions on the level-sets of collective variables
by: Akhyar, Fatima-Zahrae, et al.
Published: (2025)

Adaptive Stochastic Gradient Descents on Manifolds with an Application on Weighted Low-Rank Approximation
by: Yang, Peiqi, et al.
Published: (2025)

PurSAMERE: Reliable Adversarial Purification via Sharpness-Aware Minimization of Expected Reconstruction Error
by: Hoang, Vinh, et al.
Published: (2026)

Equation-Free Coarse Control of Distributed Parameter Systems via Local Neural Operators
by: Fabiani, Gianluca, et al.
Published: (2025)

Interplay between depth and width for interpolation in neural ODEs
by: Álvarez-López, Antonio, et al.
Published: (2024)

Self2Seg: Single-Image Self-Supervised Joint Segmentation and Denoising
by: Gruber, Nadja, et al.
Published: (2023)

Comparing Deep Reinforcement Learning Algorithms in Two-Echelon Supply Chains
by: Stranieri, Francesco, et al.
Published: (2022)

From Score Matching to Diffusion: A Fine-Grained Error Analysis in the Gaussian Setting
by: Hurault, Samuel, et al.
Published: (2025)

Data-Driven Modeling of a Controlled Orthotropic Plate Using Machine Learning
by: Kim, Yongho, et al.
Published: (2026)

Consensus in Multiagent Systems under communication failure
by: Bentaibi, Mohamed, et al.
Published: (2024)

Interior-Point Vanishing Problem in Semidefinite Relaxations for Neural Network Verification
by: Ueda, Ryota, et al.
Published: (2025)

Exploratory Optimal Stopping: A Singular Control Formulation
by: Dianetti, Jodi, et al.
Published: (2024)

An Efficient Two-Sided Sketching Method for Large-Scale Tensor Decomposition Based on Transformed Domains
by: Cheng, Zhiguang, et al.
Published: (2024)

Learning to Remove Cuts in Integer Linear Programming
by: Puigdemont, Pol, et al.
Published: (2024)

Effectively Leveraging Momentum Terms in Stochastic Line Search Frameworks for Fast Optimization of Finite-Sum Problems
by: Lapucci, Matteo, et al.
Published: (2024)