Primal-dual optimization methods for robust machine learning

On the low dimensional projections of high-dimensional point clouds

Multi-agent reinforcement learning for collaborative games: a mean-field perspective

Efficient Allocations under Ambiguous (Model) Uncertainty

Treatment effect estimation with noisy conditioning variables

Pushing Large - p - Small - n to Infinite - p - Zero - n: A Multi - resolution Theory for Individualized Predictions and for A World Without Bias - Variance Trade - off

Novel Composite Desirability of Outcome Ranking Approach for Patient-Centered Evaluation of Overall Treatment Benefits

Bitcoin Mining and Electricity Consumption

The Sketched Wasserstein Distance for mixture distributions