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math.ST2025
Basic Inequalities for First-Order Optimization with Applications to Statistical Risk Analysis
Seunghoon Paik, Kangjie Zhou, Matus Telgarsky +1
In this work, we introduce for first-order iterative optimization algorithms, forming a simple yet versatile framework which connects implicit and exp…
math.ST2025
Asymmetric Penalties Underlie Proper Loss Functions in Probabilistic Forecasting
Erez Buchweitz, João Vitor Romano, Ryan J. Tibshirani
Accurately forecasting the probability distribution of phenomena of interest is a classic and ever more widespread goal in statistics and decision theory. In comparison to point fo…
math.ST2024
Two-Sample Testing with a Graph-Based Total Variation Integral Probability Metric
Alden Green, Sivaraman Balakrishnan, Ryan J. Tibshirani
We consider a novel multivariate nonparametric two-sample testing problem where, under the alternative, distributions and are separated in an integral probability metric ov…