Learning from dependent observations

2 July 2007

Papers citing "Learning from dependent observations"

11 / 11 papers shown

Title
Rademacher learning rates for iterated random functions Nikola Sandrić 23 0 0 16 Jun 2025
Improved Estimation of Relaxation Time in Non-reversible Markov Chains Geoffrey Wolfer A. Kontorovich 124 8 0 01 Sep 2022
Universal Regression with Adversarial Responses Moise Blanchard Patrick Jaillet 62 6 0 09 Mar 2022
A Statistical Learning View of Simple Kriging Emilia Siviero E. Chautru Stephan Clémençon 31 0 0 15 Feb 2022
Learning from non-irreducible Markov chains Nikola Sandrić Stjepan Šebek OOD 20 2 0 08 Oct 2021
Adaptive Group Lasso Neural Network Models for Functions of Few Variables and Time-Dependent Data L. Ho Nicholas Richardson Giang Tran 82 3 0 24 Aug 2021
On Biased Random Walks, Corrupted Intervals, and Learning Under Adversarial Design D. Berend A. Kontorovich L. Reyzin Thomas Robinson AAML 15 1 0 30 Mar 2020
High dimensional VAR with low rank transition Pierre Alquier Karine Bertin P. Doukhan Rémy Garnier BDL 59 16 0 02 May 2019
Exponential inequalities for nonstationary Markov Chains Pierre Alquier P. Doukhan Xiequan Fan 68 10 0 27 Aug 2018
Statistical Learning Theory: Models, Concepts, and Results U. V. Luxburg Bernhard Schölkopf 150 246 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 346 9 0 02 Jul 2007