Geoffrey Wolfer

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 23

Top Topics

Monte Carlo Method

Transition Probabilities

Nash Equilibria

Top Venues

IEEE Trans. Inf. Theory

Publications

Michael C. H. Choi, Youjia Wang, Geoffrey Wolfer
A rate-distortion framework for MCMC algorithms: geometry and factorization of multivariate Markov chains. CoRR (2024)
Michael C. H. Choi, Geoffrey Wolfer
Systematic Approaches to Generate Reversiblizations of Markov Chains. IEEE Trans. Inf. Theory 70 (5) (2024)
Geoffrey Wolfer, Shun Watanabe
A Geometric Reduction Approach for Identity Testing of Reversible Markov Chains. CoRR (2023)
Michael C. H. Choi, Geoffrey Wolfer
Markov chain entropy games and the geometry of their Nash equilibria. CoRR (2023)
Michael C. H. Choi, Geoffrey Wolfer
Systematic approaches to generate reversiblizations of non-reversible Markov chains. CoRR (2023)
Doron Cohen, Aryeh Kontorovich, Aaron Koolyk, Geoffrey Wolfer
Dimension-Free Empirical Entropy Estimation. IEEE Trans. Inf. Theory 69 (5) (2023)
Geoffrey Wolfer, Shun Watanabe
Geometric Reduction for Identity Testing of Reversible Markov Chains. GSI (1) (2023)
Sela Fried, Geoffrey Wolfer
Identity Testing of Reversible Markov Chains. AISTATS (2022)
Geoffrey Wolfer, Shun Watanabe
Geometric Aspects of Data-Processing of Markov Chains. CoRR (2022)
Geoffrey Wolfer, Pierre Alquier
Variance-Aware Estimation of Kernel Mean Embedding. CoRR (2022)
Sela Fried, Geoffrey Wolfer
On the α-lazy version of Markov chains in estimation and testing problems. CoRR (2021)
Doron Cohen, Aryeh Kontorovich, Aaron Koolyk, Geoffrey Wolfer
Dimension-Free Empirical Entropy Estimation. CoRR (2021)
Geoffrey Wolfer, Shun Watanabe
Information Geometry of Reversible Markov Chains. CoRR (2021)
Doron Cohen, Aryeh Kontorovich, Aaron Koolyk, Geoffrey Wolfer
Dimension-free empirical entropy estimation. NeurIPS (2021)
Sela Fried, Geoffrey Wolfer
Identity testing of reversible Markov chains. CoRR (2021)
Doron Cohen, Aryeh Kontorovich, Geoffrey Wolfer
Learning discrete distributions with infinite support. NeurIPS (2020)
Geoffrey Wolfer, Aryeh Kontorovich
Minimax Testing of Identity to a Reference Ergodic Markov Chain. AISTATS (2020)
Geoffrey Wolfer
Mixing Time Estimation in Ergodic Markov Chains from a Single Trajectory with Contraction Methods. ALT (2020)
Geoffrey Wolfer, Aryeh Kontorovich
Minimax Learning of Ergodic Markov Chains. ALT (2019)
Geoffrey Wolfer, Aryeh Kontorovich
Estimating the Mixing Time of Ergodic Markov Chains. CoRR (2019)
Geoffrey Wolfer, Aryeh Kontorovich
Estimating the Mixing Time of Ergodic Markov Chains. COLT (2019)
Geoffrey Wolfer
Mixing Time Estimation in Ergodic Markov Chains from a Single Trajectory with Contraction Methods. CoRR (2019)
Geoffrey Wolfer, Aryeh Kontorovich
Minimax Learning of Ergodic Markov Chains. CoRR (2018)