Title |
|---|
 Rademacher learning rates for iterated random functionsJournal of Complexity (JoC), 2025 |
 Improved Estimation of Relaxation Time in Non-reversible Markov ChainsThe Annals of Applied Probability (Ann. Appl. Probab.), 2022 |
 Universal Regression with Adversarial ResponsesAnnals of Statistics (Ann. Stat.), 2022 |
 A Statistical Learning View of Simple KrigingTest (Madrid) (TM), 2022 |
 Learning from non-irreducible Markov chainsJournal of Mathematical Analysis and Applications (JMAA), 2021 |
 Adaptive Group Lasso Neural Network Models for Functions of Few
Variables and Time-Dependent DataSampling Theory, Signal Processing, and Data Analysis (SAMPTA), 2021 |
 On Biased Random Walks, Corrupted Intervals, and Learning Under
Adversarial DesignAnnals of Mathematics and Artificial Intelligence (AMAI), 2020 |
 High dimensional VAR with low rank transitionStatistics and computing (Stat. Comput.), 2019 |
