Papers citing 'Learning from dependent observations'

Title
Rademacher learning rates for iterated random functionsJournal of Complexity (JoC), 2025 Nikola Sandrić 114 0 0 16 Jun 2025
Improved Estimation of Relaxation Time in Non-reversible Markov ChainsThe Annals of Applied Probability (Ann. Appl. Probab.), 2022 Geoffrey Wolfer A. Kontorovich 339 10 0 01 Sep 2022
Universal Regression with Adversarial ResponsesAnnals of Statistics (Ann. Stat.), 2022 Moise Blanchard Patrick Jaillet 161 6 0 09 Mar 2022
A Statistical Learning View of Simple KrigingTest (Madrid) (TM), 2022 Emilia Siviero E. Chautru Nathan Huet 218 0 0 15 Feb 2022
Learning from non-irreducible Markov chainsJournal of Mathematical Analysis and Applications (JMAA), 2021 Nikola Sandrić Stjepan Šebek OOD 100 2 0 08 Oct 2021
Adaptive Group Lasso Neural Network Models for Functions of Few Variables and Time-Dependent DataSampling Theory, Signal Processing, and Data Analysis (SAMPTA), 2021 L. Ho Nicholas Richardson Giang Tran 242 3 0 24 Aug 2021
On Biased Random Walks, Corrupted Intervals, and Learning Under Adversarial DesignAnnals of Mathematics and Artificial Intelligence (AMAI), 2020 D. Berend A. Kontorovich L. Reyzin Thomas Robinson AAML 101 1 0 30 Mar 2020
High dimensional VAR with low rank transitionStatistics and computing (Stat. Comput.), 2019 Pierre Alquier Karine Bertin P. Doukhan Rémy Garnier BDL 174 17 0 02 May 2019
Exponential inequalities for nonstationary Markov Chains Pierre Alquier P. Doukhan Xiequan Fan 204 10 0 27 Aug 2018
Statistical Learning Theory: Models, Concepts, and Results U. V. Luxburg Bernhard Schölkopf 239 252 0 27 Oct 2008
Consistency of support vector machines for forecasting the evolution of an unknown ergodic dynamical system from observations with unknown noise Ingo Steinwart Marian Anghel 481 9 0 02 Jul 2007