Ali Eshragh

24 papers Journal 23Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Double traversals in optimal picker routes for warehouses with multiple blocks.
Oper. Res. Lett.
George Dunn, Hadi Charkhgard, Ali Eshragh, Elizabeth Stojanovski
2025 J jnl
Deep reinforcement learning for dynamic order picking in warehouse operations.
Comput. Oper. Res.
Sasan Mahmoudinazlou, Abhay Sobhanan, Hadi Charkhgard, Ali Eshragh, George Dunn
2025 J jnl
Ranking Vectors Clustering: Theory and Applications.
CoRR
Ali Fattahi, Ali Eshragh, Babak Aslani, Meysam Rabiee
2025 J jnl
Reflections from Research Roundtables at the Conference on Health, Inference, and Learning (CHIL) 2025.
CoRR
Emily Alsentzer, Marie-Laure Charpignon, Bill Chen, Niharika D'Souza, Jason A. Fries, Yixing Jiang, Aparajita Kashyap, Chanwoo Kim, Simon A. Lee, Aishwarya Mandyam, Ashery Christopher Mbilinyi, Nikita Mehandru, Nitish Nagesh, Brighton Nuwagira, Emma Pierson, Arvind Pillai, Akane Sano, Tanveer F. Syeda-Mahmood, Shashank Yadav, Elias Adhanom, Muhammad Umar Afza, Amelia Archer, Suhana Bedi, Vasiliki Bikia, Trenton Chang, George H. Chen, Winston Chen, Erica Chiang, Edward Choi, Octavia Ciora, Paz Dozie-Nnamah, Shaza Elsharief, Matthew Engelhard, Ali Eshragh, Jean Feng, Josh Fessel, Scott L. Fleming, Kei Sen Fong, Thomas Frost, Soham Gadgil, Judy Gichoya, Leeor Hershkovich, Sujeong Im, Bhavya Jain, Vincent Jeanselme, Furong Jia, Qixuan Jin, Yuxuan Jin, Daniel Kapash, Geetika Kapoor, Behdokht Kiafar, Matthias Kleiner, Stefan Kraft, Annika Kumar, Daeun Kyung, Zhongyuan Liang, Joanna Lin, Qianchu Liu, Chang Liu, Hongzhou Luan, Chris Lunt, Leopoldo Julian Lechuga López, Matthew B. A. McDermott, Shahriar Noroozizadeh, Connor O'Brien, YongKyung Oh, Mixail Ota, Stephen Pfohl, Meagan Pi, Tanmoy Sarkar Pias, Emma Rocheteau, Avishaan Sethi, Toru Shirakawa, Anita Silver, Neha Simha, Kamile Stankeviciute, Max Sunog, Peter Szolovits, Shengpu Tang, Jialu Tang, Aaron Tierney, John Valdovinos, Byron Wallace, Will Ke Wang, Peter Washington, Jeremy C. Weiss, Daniel Wolfe, Emily Wong, Hye Sun Yun, Xiaoman Zhang, Xiao Yu Cindy Zhang, Hayoung Jeong, Kaveri A. Thakoor
2025 J jnl
Solving hard bi-objective knapsack problems using deep reinforcement learning.
Discret. Optim.
Hadi Charkhgard, Hanieh Rastegar Moghaddam, Ali Eshragh, Sasan Mahmoudinazlou, Kimia Keshanian
2024 J jnl
Deep Reinforcement Learning for Dynamic Order Picking in Warehouse Operations.
CoRR
Sasan Mahmoudinazlou, Abhay Sobhanan, Hadi Charkhgard, Ali Eshragh, George Dunn
2024 J jnl
Deep Reinforcement Learning for Picker Routing Problem in Warehousing.
CoRR
George Dunn, Hadi Charkhgard, Ali Eshragh, Sasan Mahmoudinazlou, Elizabeth Stojanovski
2024 J jnl
Learning to project in a criterion space search algorithm: an application to multi-objective binary linear programming.
Optim. Lett.
Alvaro Sierra-Altamiranda, Hadi Charkhgard, Iman Dayarian, Ali Eshragh, Sorna Javadi
2024 J jnl
Optimal Experimental Design for Partially Observable Pure Birth Processes.
CoRR
Ali Eshragh, Matthew P. Skerritt, Bruno Salvy, Thomas McCallum
2024 J jnl
SALSA: Sequential Approximate Leverage-Score Algorithm with Application in Analyzing Big Time Series Data.
CoRR
Ali Eshragh, Luke Yerbury, Asef Nazari, Fred Roosta, Michael W. Mahoney
2022 J jnl
A Hybrid Statistical-Machine Learning Approach for Analysing Online Customer Behavior: An Empirical Study.
CoRR
Saed Alizami, Kasun Bandara, Ali Eshragh, Foaad Iravani
2022 J jnl
LSAR: Efficient Leverage Score Sampling Algorithm for the Analysis of Big Time Series Data.
J. Mach. Learn. Res.
Ali Eshragh, Fred Roosta, Asef Nazari, Michael W. Mahoney
2021 J jnl
Toeplitz Least Squares Problems, Fast Algorithms and Big Data.
CoRR
Ali Eshragh, Oliver Di Pietro, Michael A. Saunders
2020 J jnl
An analytical bound on the fleet size in vehicle routing problems: A dynamic programming approach.
Oper. Res. Lett.
Ali Eshragh, Rasul Esmaeilbeigi, Richard H. Middleton
2020 J jnl
Average-reward model-free reinforcement learning: a systematic review and literature mapping.
CoRR
Vektor Dewanto, George Dunn, Ali Eshragh, Marcus Gallagher, Fred Roosta
2020 J jnl
Hamiltonian Cycles and Subsets of Discounted Occupational Measures.
Math. Oper. Res.
Ali Eshragh, Jerzy A. Filar, Thomas Kalinowski, Sogol Mohammadian
2019 J jnl
An analytical bound on the fleet size in vehicle routing problems: a dynamic programming approach.
CoRR
Ali Eshragh, Rasul Esmaeilbeigi, Richard H. Middleton
2019 J jnl
Learning to Project in Multi-Objective Binary Linear Programming.
CoRR
Alvaro Sierra-Altamiranda, Hadi Charkhgard, Iman Dayarian, Ali Eshragh, Sorna Javadi
2018 J jnl
Planning of complex supply chains: A performance comparison of three meta-heuristic algorithms.
Comput. Oper. Res.
Behnam Fahimnia, Hoda Davarzani, Ali Eshragh
2016 J jnl
On transition matrices of Markov chains corresponding to Hamiltonian cycles.
Ann. Oper. Res.
Konstantin Avrachenkov, Ali Eshragh, Jerzy A. Filar
2015 J jnl
On Binomial Observations of Continuous-Time Markovian Population Models.
J. Appl. Probab.
Nigel G. Bean, Robert Elliott, Ali Eshragh, Joshua V. Ross
2011 J jnl
A hybrid simulation-optimization algorithm for the Hamiltonian cycle problem.
Ann. Oper. Res.
Ali Eshragh, Jerzy A. Filar, Michael Haythorpe
2011 J jnl
Hamiltonian Cycles, Random Walks, and Discounted Occupational Measures.
Math. Oper. Res.
Ali Eshragh, Jerzy A. Filar
2011 — conf
Hamiltonian transition matrices.
VALUETOOLS
Konstantin Avrachenkov, Ali Eshragh, Jerzy A. Filar