Minimax Learning of Ergodic Markov Chains. - Geoffrey Wolfer; Aryeh Kontorovich (ALT, 2019)

Estimating the Mixing Time of Ergodic Markov Chains. - Geoffrey Wolfer; Aryeh Kontorovich (COLT, 2019)

Minimax Testing of Identity to a Reference Ergodic Markov Chain. - Geoffrey Wolfer; Aryeh Kontorovich (AISTATS, 2020)

Mixing Time Estimation in Ergodic Markov Chains from a Single Trajectory with Contraction Methods. - Geoffrey Wolfer (ALT, 2020)

Learning discrete distributions with infinite support. - Doron Cohen 002; Aryeh Kontorovich; Geoffrey Wolfer (NeurIPS, 2020)

On the α-lazy version of Markov chains in estimation and testing problems. - Sela Fried; Geoffrey Wolfer (CoRR, 2021)

Information Geometry of Reversible Markov Chains. - Geoffrey Wolfer; Shun Watanabe (CoRR, 2021)

Identity Testing of Reversible Markov Chains. - Sela Fried; Geoffrey Wolfer (AISTATS, 2022)

Geometric Aspects of Data-Processing of Markov Chains. - Geoffrey Wolfer; Shun Watanabe (CoRR, 2022)

Variance-Aware Estimation of Kernel Mean Embedding. - Geoffrey Wolfer; Pierre Alquier (CoRR, 2022)

Geometric Reduction for Identity Testing of Reversible Markov Chains. - Geoffrey Wolfer; Shun Watanabe (GSI (1), 2023)

A Geometric Reduction Approach for Identity Testing of Reversible Markov Chains. - Geoffrey Wolfer; Shun Watanabe (CoRR, 2023)

Systematic approaches to generate reversiblizations of non-reversible Markov chains. - Michael C. H. Choi; Geoffrey Wolfer (CoRR, 2023)

Markov chain entropy games and the geometry of their Nash equilibria. - Michael C. H. Choi; Geoffrey Wolfer (CoRR, 2023)

Dimension-Free Empirical Entropy Estimation. - Doron Cohen 002; Aryeh Kontorovich; Aaron Koolyk; Geoffrey Wolfer (IEEE Trans. Inf. Theory, 2023)

A rate-distortion framework for MCMC algorithms: geometry and factorization of multivariate Markov chains. - Michael C. H. Choi; Youjia Wang; Geoffrey Wolfer (CoRR, 2024)

Combinatorial Characterization of Exponential Families of Lumpable Stochastic Matrices. - Shun Watanabe; Geoffrey Wolfer (CoRR, 2024)

Systematic Approaches to Generate Reversiblizations of Markov Chains. - Michael C. H. Choi; Geoffrey Wolfer (IEEE Trans. Inf. Theory, 2024)