Ali Eshragh

Orcid: 0000-0002-0874-1626

According to our database1, Ali Eshragh authored at least 16 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Optimal Experimental Design for Partially Observable Pure Birth Processes.
CoRR, 2024

Deep Reinforcement Learning for Picker Routing Problem in Warehousing.
CoRR, 2024

SALSA: Sequential Approximate Leverage-Score Algorithm with Application in Analyzing Big Time Series Data.
CoRR, 2024

2022
LSAR: Efficient Leverage Score Sampling Algorithm for the Analysis of Big Time Series Data.
J. Mach. Learn. Res., 2022

A Hybrid Statistical-Machine Learning Approach for Analysing Online Customer Behavior: An Empirical Study.
CoRR, 2022

2021
Toeplitz Least Squares Problems, Fast Algorithms and Big Data.
CoRR, 2021

2020
An analytical bound on the fleet size in vehicle routing problems: A dynamic programming approach.
Oper. Res. Lett., 2020

Hamiltonian Cycles and Subsets of Discounted Occupational Measures.
Math. Oper. Res., 2020

Average-reward model-free reinforcement learning: a systematic review and literature mapping.
CoRR, 2020

2019
Learning to Project in Multi-Objective Binary Linear Programming.
CoRR, 2019

2018
Planning of complex supply chains: A performance comparison of three meta-heuristic algorithms.
Comput. Oper. Res., 2018

2016
On transition matrices of Markov chains corresponding to Hamiltonian cycles.
Ann. Oper. Res., 2016

2015
On Binomial Observations of Continuous-Time Markovian Population Models.
J. Appl. Probab., 2015

2011
Hamiltonian Cycles, Random Walks, and Discounted Occupational Measures.
Math. Oper. Res., 2011

A hybrid simulation-optimization algorithm for the Hamiltonian cycle problem.
Ann. Oper. Res., 2011

Hamiltonian transition matrices.
Proceedings of the 5th International ICST Conference on Performance Evaluation Methodologies and Tools Communications, 2011


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