Saved in:
| Main Author: | Okhrati, Ramin |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.09943 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
DISTINGUISH Workflow: A New Paradigm of Dynamic Well Placement Using Generative Machine Learning
by: Alyaev, Sergey, et al.
Published: (2025)
by: Alyaev, Sergey, et al.
Published: (2025)
Dynamic Topic Analysis in Academic Journals using Convex Non-negative Matrix Factorization Method
by: Yang, Yang, et al.
Published: (2025)
by: Yang, Yang, et al.
Published: (2025)
Online Optimization and Ambiguity-based Learning of Distributionally Uncertain Dynamic Systems
by: Li, Dan, et al.
Published: (2021)
by: Li, Dan, et al.
Published: (2021)
Unit Commitment Predictor With a Performance Guarantee: A Support Vector Machine Classifier
by: Pourahmadi, Farzaneh, et al.
Published: (2023)
by: Pourahmadi, Farzaneh, et al.
Published: (2023)
Statistical Performance Guarantee for Subgroup Identification with Generic Machine Learning
by: Li, Michael Lingzhi, et al.
Published: (2023)
by: Li, Michael Lingzhi, et al.
Published: (2023)
Buffered AUC maximization for scoring systems via mixed-integer optimization
by: Shiina, Moe, et al.
Published: (2026)
by: Shiina, Moe, et al.
Published: (2026)
Multi-objective Bayesian Optimization With Mixed-categorical Design Variables for Expensive-to-evaluate Aeronautical Applications
by: Bartoli, Nathalie, et al.
Published: (2025)
by: Bartoli, Nathalie, et al.
Published: (2025)
DGSAM: Domain Generalization via Individual Sharpness-Aware Minimization
by: Song, Youngjun, et al.
Published: (2025)
by: Song, Youngjun, et al.
Published: (2025)
Deconfounded Warm-Start Thompson Sampling with Applications to Precision Medicine
by: Jaiswal, Prateek, et al.
Published: (2025)
by: Jaiswal, Prateek, et al.
Published: (2025)
Sampling from Gaussian Processes: A Tutorial and Applications in Global Sensitivity Analysis and Optimization
by: Do, Bach, et al.
Published: (2025)
by: Do, Bach, et al.
Published: (2025)
Exposing the Illusion of Fairness: Auditing Vulnerabilities to Distributional Manipulation Attacks
by: Lafargue, Valentin, et al.
Published: (2025)
by: Lafargue, Valentin, et al.
Published: (2025)
Distribution Grid Line Outage Identification with Unknown Pattern and Performance Guarantee
by: Xiao, Chenhan, et al.
Published: (2023)
by: Xiao, Chenhan, et al.
Published: (2023)
Towards Improving Unit Commitment Economics: An Add-On Tailor for Renewable Energy and Reserve Predictions
by: Chen, Xianbang, et al.
Published: (2022)
by: Chen, Xianbang, et al.
Published: (2022)
Uncertainty-Aware Delivery Delay Duration Prediction via Multi-Task Deep Learning
by: Faulkner, Stefan, et al.
Published: (2026)
by: Faulkner, Stefan, et al.
Published: (2026)
Lion Secretly Solves Constrained Optimization: As Lyapunov Predicts
by: Chen, Lizhang, et al.
Published: (2023)
by: Chen, Lizhang, et al.
Published: (2023)
Sparse Network Inference under Imperfect Detection and its Application to Ecological Networks
by: Zhang, Aoran, et al.
Published: (2026)
by: Zhang, Aoran, et al.
Published: (2026)
A Quick Estimation of Fréchet Quantizers for a Dynamic Solution to Flood Risk Management Problems
by: Timonina-Farkas, Anna
Published: (2025)
by: Timonina-Farkas, Anna
Published: (2025)
Input layer regularization and automated regularization hyperparameter tuning for myelin water estimation using deep learning
by: Modi, Mirage, et al.
Published: (2025)
by: Modi, Mirage, et al.
Published: (2025)
Learning of Linear Dynamical Systems as a Non-Commutative Polynomial Optimization Problem
by: Zhou, Quan, et al.
Published: (2020)
by: Zhou, Quan, et al.
Published: (2020)
Ensemble-Conditional Gaussian Processes (Ens-CGP): Representation, Geometry, and Inference
by: Ravela, Sai, et al.
Published: (2026)
by: Ravela, Sai, et al.
Published: (2026)
Estimating the Unobservable Components of Electricity Demand Response with Inverse Optimization
by: Esteban-Perez, Adrian, et al.
Published: (2024)
by: Esteban-Perez, Adrian, et al.
Published: (2024)
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)
An Iterative Algorithm for Regularized Non-negative Matrix Factorizations
by: Pav, Steven E.
Published: (2024)
by: Pav, Steven E.
Published: (2024)
A Bayesian Update Method for Exponential Family Projection Filters with Non-Conjugate Likelihoods
by: Emzir, Muhammad Fuady
Published: (2025)
by: Emzir, Muhammad Fuady
Published: (2025)
Learning Interactions Between Continuous Treatments and Covariates with a Semiparametric Model
by: Jiang, Muyan, et al.
Published: (2025)
by: Jiang, Muyan, et al.
Published: (2025)
Non-Parametric Learning of Stochastic Differential Equations with Non-asymptotic Fast Rates of Convergence
by: Bonalli, Riccardo, et al.
Published: (2023)
by: Bonalli, Riccardo, et al.
Published: (2023)
Learning Linear Dynamics from Bilinear Observations
by: Sattar, Yahya, et al.
Published: (2024)
by: Sattar, Yahya, et al.
Published: (2024)
Rate-Optimal Regret for the Safe Learning-based Control of the Constrained Linear Quadratic Regulator
by: Hutchinson, Spencer, et al.
Published: (2026)
by: Hutchinson, Spencer, et al.
Published: (2026)
Learning Risk Preferences in Markov Decision Processes: an Application to the Fourth Down Decision in the National Football League
by: Sandholtz, Nathan, et al.
Published: (2023)
by: Sandholtz, Nathan, et al.
Published: (2023)
Direct Data Driven Control Using Noisy Measurements
by: Esmzad, Ramin, et al.
Published: (2025)
by: Esmzad, Ramin, et al.
Published: (2025)
Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees
by: Jaffe, Sean, et al.
Published: (2024)
by: Jaffe, Sean, et al.
Published: (2024)
GLASD: A Loss-Function-Agnostic Global Optimizer for Robust Correlation Estimation under Data Contamination and Heavy Tails
by: Das, Priyam
Published: (2025)
by: Das, Priyam
Published: (2025)
MAP Estimation with Denoisers: Convergence Rates and Guarantees
by: Pesme, Scott, et al.
Published: (2025)
by: Pesme, Scott, et al.
Published: (2025)
Imitation Learning from Observations: An Autoregressive Mixture of Experts Approach
by: Wang, Renzi, et al.
Published: (2024)
by: Wang, Renzi, et al.
Published: (2024)
Online Reinforcement Learning in Markov Decision Process Using Linear Programming
by: Leon, Vincent, et al.
Published: (2023)
by: Leon, Vincent, et al.
Published: (2023)
Lead distance under a pickoff limit in Major League Baseball: A sequential game model
by: Powers, Scott, et al.
Published: (2026)
by: Powers, Scott, et al.
Published: (2026)
A general approach to optimal imperfect maintenance activities of a repairable equipment with imperfect maintenance and multiple failure modes
by: Mullor, Rubén, et al.
Published: (2024)
by: Mullor, Rubén, et al.
Published: (2024)
Designing a Circular Economy Network for PPE Masks Supply Chain: A Case Study of British Columbia, Canada
by: Shah, Jainil Dharmil, et al.
Published: (2025)
by: Shah, Jainil Dharmil, et al.
Published: (2025)
Topology Learning of unknown Networked Linear Dynamical System excited by Cyclostationary inputs
by: Doddi, Harish, et al.
Published: (2020)
by: Doddi, Harish, et al.
Published: (2020)
Multi-Objective Optimization Using Adaptive Distributed Reinforcement Learning
by: Tan, Jing, et al.
Published: (2024)
by: Tan, Jing, et al.
Published: (2024)
Similar Items
-
DISTINGUISH Workflow: A New Paradigm of Dynamic Well Placement Using Generative Machine Learning
by: Alyaev, Sergey, et al.
Published: (2025) -
Dynamic Topic Analysis in Academic Journals using Convex Non-negative Matrix Factorization Method
by: Yang, Yang, et al.
Published: (2025) -
Online Optimization and Ambiguity-based Learning of Distributionally Uncertain Dynamic Systems
by: Li, Dan, et al.
Published: (2021) -
Unit Commitment Predictor With a Performance Guarantee: A Support Vector Machine Classifier
by: Pourahmadi, Farzaneh, et al.
Published: (2023) -
Statistical Performance Guarantee for Subgroup Identification with Generic Machine Learning
by: Li, Michael Lingzhi, et al.
Published: (2023)