Onur Tavaslioglu
Onur Tavaslioglu
Research Scientist, Amazon
Verified email at amazon.com
Cited by
Cited by
On the structure of the inverse-feasible region of a linear program
O Tavaslıoğlu, T Lee, S Valeva, AJ Schaefer
Operations Research Letters 46 (1), 147-152, 2018
Solving stochastic and bilevel mixed-integer programs via a generalized value function
O Tavaslıoğlu, OA Prokopyev, AJ Schaefer
Operations Research 67 (6), 1659-1677, 2019
Shallow univariate relu networks as splines: initialization, loss surface, hessian, & gradient flow dynamics
J Sahs, R Pyle, A Damaraju, JO Caro, O Tavaslioglu, A Lu, A Patel
arXiv preprint arXiv:2008.01772, 2020
A Functional Characterization of Randomly Initialized Gradient Descent in Deep ReLU Networks
J Sahs, A Damaraju, R Pyle, O Tavaslioglu, JO Caro, HY Lu, A Patel
Novel Method of Calculating Pulse Pressure Variation to Predict Fluid Responsiveness to Transfusion in Very Low Birth Weight Infants
ZC Foughty, O Tavaslioglu, CJ Rhee, LI Elizondo, CG Rusin, DJ Penny, ...
The Journal of Pediatrics 234, 265-268. e1, 2021
DeepSimplex: Reinforcement Learning of Pivot Rules Improves the Efficiency of Simplex Algorithm in Solving Linear Programming Problems
V Suriyanarayana, O Tavaslioglu, AB Patel, AJ Schaefer
Operating Room Scheduling and Integrated Block Assignments Under Emergency Arrivals
O Tavaslioglu
University of Pittsburgh, 2019
Optimal Policy Structure for Risk-Sensitive Airline Revenue Management
O Tavaslıoğlu, ZM Avşar
Risk-Sensitive Models for Airline Network Revenue Management
O Tavaslıoğlu, ZM Avşar
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