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A Machine Learning Approach to Two-Stage Adaptive Robust Optimization

with Cheol Woo Kim, European Journal of Operational Research, 2024

An exact method for a class of robust nonlinear optimization problems

with D. de Moor, D. den Hertog, T. Koukouvinos, J. Zhen, submitted to SIAM Journal on Optimization, 2024

Catastrophe Insurance: An Adaptive Robust Optimization Approach

with C. Zeng, submitted to MSOM, 2024

Compressed Sensing: A Discrete Optimization Approach

with N. Johnson, Machine Learning, appeared online, 2024

Deep Trees for (Un)structured Data: Tractability, Performance, and Interpretability

with L. Everest, J. Gu, M. Peroni, V. Stoumpou, submitted to Machine Learning, 2024

Holistic Deep Learning

with L. Boussioux, K. Villalobos Carballo, M. Li, A. Paskov and I. Paskov, Machine Learning, 113, 159-183, 2024

M3H: Multimodal Multitask Machine Learning for Healthcare

with Y. Ma, submitted to Nature, 2024

Optimal Control of Fluid Restless Multi-armed Bandits: A Machine Learning Approach

with CW. Kim and J. Nino-Mora, submitted to Machine Learning, 2024

Policy Trees for Prediction: Interpretable and Adaptive Model Selection for Machine Learning

with M. Peroni, submitted to Journal of Machine Learning Research, 2024

Simple Imputation Rules for Prediction with Missing Data: Theoretical Guarantees vs. Empirical Performance

with A. Delarue, J. Pauphillet, to appear in Transactions on Machine Learning, 2024

Slowly Varying Regression Under Sparsity

with V. Digalakis, M. Li and O. Skali Lami, Operations Research, appeared online, 2024

Solving Large-Scale Weapon Target Assignment Problems in Seconds

with A. Paskov, submitted to Naval Research Logistics, 2024

Towards Stable Machine Learning Model Retraining via Slowly Varying Sequences

with V. Digalakis, Y. Ma, P. Paschalidis, submitted to NeurIPS, 2024

Universal Neurons in GPT2 Language Models

with Wes Gurnee, Theo Horsley, Zifan Carl Guo, Tara Rezaei Kheirkhah, Qinyi Sun, Will Hathaway, Neel Nanda, to appear in Transactions on Machine Learning Research, 2024

A Machine Learning Approach to Two-Stage Adaptive Robust Optimization

with Cheol Woo Kim, submitted to European Journal of Operation Research, 2023

A New Perspective on Low-Rank Optimization

with Ryan Cory-Wright, Jean Pauphilet, Mathematical Programming, 202, 47-92, 2023

A Prescriptive Machine Learning Approach to Mixed-Integer Convex Optimization

with Cheol Woo Kim, INFORMS Journal on Computing, 2023

A Simulated Annealing Approach to Designing Optimal Policy Trees

with Suleeporn Sujichantararat, submitted to Machine Learning, 2023

A Stochastic Benders Decomposition Scheme for Large-Scale Data-Driven Network Design

with R. Cory-Wright, J. Pauphilet, P. Petridis, submitted to INFORMS Journal of Computing, 2023

A data-driven approach to multistage stochastic linear optimization

with Shimrit Shtern, Bradley Sturt, Management Science 69(1):51-74, 2023

A novel algorithm for a broad class of nonconvex optimization problems

with D. de Moor, T. Koukouvinos, D. den Hertog, J. Zhen, submitted to Operations Research, 2023

Adaptive Linear Algebra

with Thodoris Koukouvinos, 2023

Adaptive Pricing in Unit Commitment Under Load and Capacity Uncertainty

with Angelos Georgios Koulouras, IEEE Transactions on Power Systems, 2023

Automated Segmentation of Sacral Chordoma and Surrounding Muscles Using Deep Learning Ensemble

with Leonard Boussioux, Yu Ma, Nancy Knight Thomas, Nadya Shusharina, Jennifer Pursley, Yen-Lin Chen, Thomas F. DeLaney, Jack Qian, Thomas Bortfeld, International Journal of Radiation Oncology - Biology - Physics, 2023

Cone product reformulation for global optimization

with Danique de Moor, Dick den Hertog, Thodoris Koukouvinos, Jianzhe Zhen, submitted to INFORMS Journal of Computing, 2023