The Magic Of Monotone Integer Programs: Polynomial Time Solvability With Min-Cut Procedure, Fast High Quality Solutions for Related Hard Problems and the New Incremental Parametric Cut Algorithm For Densest Subgraph and Other Monotone Ratio Problems

Decision Under Intensity-Based Costs In Large-Scale Systems

Machine Learning for Algorithm Design

A Quantitative Approach to Optimal Impact Portfolios

Approximate Message Passing Algorithms for High-dimensional Estimation and Inference

The dipole phase transition in the 2D Coulomb gas

Transfer Learning and Optimization Theory for Large-Scale Models

Do LLMs solve novel tasks? An empirical investigation of out-of-distribution generalization

Recent Advances in Min-max Optimization: Convergence Guarantees and Practical Performance

Robustness to Approximations, Learning, and Incorrect Models in Stochastic Control