:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Li, Zheng, Meng, Haoming, Ma, Chengyuan, Ma, Ke, Li, Xiaopeng
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Systems and Control Methodology
Acceso en línea:	https://arxiv.org/abs/2501.10625
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

A Statistical Decision-Theoretical Perspective on the Two-Stage Approach to Parameter Estimation
por: Lakshminarayanan, Braghadeesh, et al.
Publicado: (2022)

Scenario Approach with Post-Design Certification of User-Specified Properties
por: Carè, Algo, et al.
Publicado: (2026)

A Cyber Manufacturing IoT System for Adaptive Machine Learning Model Deployment by Interactive Causality Enabled Self-Labeling
por: Ren, Yutian, et al.
Publicado: (2024)

On Large-Scale Multiple Testing Over Networks: An Asymptotic Approach
por: Pournaderi, Mehrdad, et al.
Publicado: (2022)

A Metropolis-Adjusted Langevin Algorithm for Sampling Jeffreys Prior
por: Shi, Yibo, et al.
Publicado: (2025)

Deep Adaptive Model-Based Design of Experiments
por: Strouwen, Arno, et al.
Publicado: (2026)

Graph neural networks for power grid operational risk assessment under evolving grid topology
por: Zhang, Yadong, et al.
Publicado: (2024)

Application-Driven Learning: A Closed-Loop Prediction and Optimization Approach Applied to Dynamic Reserves and Demand Forecasting
por: Garcia, Joaquim Dias, et al.
Publicado: (2021)

Set Invariance with Probability One for Controlled Diffusion: Score-based Approach
por: Wang, Wenqing, et al.
Publicado: (2025)

Causal discovery in deterministic discrete LTI-DAE systems
por: Konkathi, Bala Rajesh, et al.
Publicado: (2025)

Counterfactual Explanations for Model Ensembles Using Entropic Risk Measures
por: Noorani, Erfaun, et al.
Publicado: (2025)

Online Identification of Stochastic Continuous-Time Wiener Models Using Sampled Data
por: Abdalmoaty, Mohamed, et al.
Publicado: (2024)

Sample Complexity of the Sign-Perturbed Sums Method
por: Szentpéteri, Szabolcs, et al.
Publicado: (2024)

Statistical Performance Guarantee for Subgroup Identification with Generic Machine Learning
por: Li, Michael Lingzhi, et al.
Publicado: (2023)

Statistical inference of probabilistic origin-destination demand using day-to-day traffic data
por: Ma, Wei, et al.
Publicado: (2019)

Learning Sequential Decisions from Multiple Sources via Group-Robust Markov Decision Processes
por: Xu, Mingyuan, et al.
Publicado: (2026)

From Contextual Data to Newsvendor Decisions: On the Actual Performance of Data-Driven Algorithms
por: Besbes, Omar, et al.
Publicado: (2023)

Bridging Impulse Control of Piecewise Deterministic Markov Processes and Markov Decision Processes: Frameworks, Extensions, and Open Challenges
por: Cleynen, Alice, et al.
Publicado: (2025)

Modelos Empiricos de Pos-Dupla Selecao por LASSO: Discussoes para Estudos do Transporte Aereo
por: Oliveira, Alessandro V. M.
Publicado: (2025)

From Data-Driven to Purpose-Driven Artificial Intelligence: Systems Thinking for Data-Analytic Automation of Patient Care
por: Anadria, Daniel, et al.
Publicado: (2025)

An Interventional Perspective on Identifiability in Gaussian LTI Systems with Independent Component Analysis
por: Rajendran, Goutham, et al.
Publicado: (2023)

A Hypergraph-Based Machine Learning Ensemble Network Intrusion Detection System
por: Lin, Zong-Zhi, et al.
Publicado: (2022)

Unveiling Uniform Shifted Power Law in Stochastic Human and Autonomous Driving Behavior
por: Chen, Wang, et al.
Publicado: (2025)

Learning and Current Prediction of PMSM Drive via Differential Neural Networks
por: Mei, Wenjie, et al.
Publicado: (2024)

Behavioral Heterogeneity as Quantum-Inspired Representation
por: Elayan, Mohammad, et al.
Publicado: (2026)

Statistical Analysis of Conditional Group Distributionally Robust Optimization with Cross-Entropy Loss
por: Guo, Zijian, et al.
Publicado: (2025)

Automatic Outlier Rectification via Optimal Transport
por: Blanchet, Jose, et al.
Publicado: (2024)

Tensor-on-Tensor Regression: Riemannian Optimization, Over-parameterization, Statistical-computational Gap, and Their Interplay
por: Luo, Yuetian, et al.
Publicado: (2022)

Modeling IoT Traffic Patterns: Insights from a Statistical Analysis of an MTC Dataset
por: Ruiz-Guirola, David E., et al.
Publicado: (2024)

Deep Reinforcement Learning-driven Cross-Community Energy Interaction Optimal Scheduling
por: Li, Yang, et al.
Publicado: (2023)

Bayesian Ambiguity Contraction-based Adaptive Robust Markov Decision Processes for Adversarial Surveillance Missions
por: Choi, Jimin, et al.
Publicado: (2025)

Arithmetic Average Density Fusion -- Part II: Unified Derivation for Unlabeled and Labeled RFS Fusion
por: Li, Tiancheng
Publicado: (2022)

How to Do Statistical Evaluations in ECE/CS Papers: A Practical Playbook for Defensible Results
por: Krishnamachari, Bhaskar
Publicado: (2026)

A safety governor for learning explicit MPC controllers from data
por: Mao, Anjie, et al.
Publicado: (2025)

Myopically Verifiable Probabilistic Certificates for Safe Control and Learning
por: Wang, Zhuoyuan, et al.
Publicado: (2024)

Estimate exponential memory decay in Hidden Markov Model and its applications
por: Ye, Felix X. -F., et al.
Publicado: (2017)

Change Point Detection with Copula Entropy based Two-Sample Test
por: Ma, Jian
Publicado: (2024)

SplitVAEs: Decentralized scenario generation from siloed data for stochastic optimization problems
por: Islam, H M Mohaimanul, et al.
Publicado: (2024)

Learning Large Causal Structures from Inverse Covariance Matrix via Sparse Matrix Decomposition
por: Dong, Shuyu, et al.
Publicado: (2022)

Distributed Thompson sampling under constrained communication
por: Zerefa, Saba, et al.
Publicado: (2024)