Geoffrey Wolfer

25 papers A* 3A 2B 2Journal 17Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Variance-Aware Estimation of Kernel Mean Embedding. J. Mach. Learn. Res. Geoffrey Wolfer, Pierre Alquier
2024	J	`jnl`	A rate-distortion framework for MCMC algorithms: geometry and factorization of multivariate Markov chains. CoRR Michael C. H. Choi, Youjia Wang, Geoffrey Wolfer
2024	J	`jnl`	Combinatorial Characterization of Exponential Families of Lumpable Stochastic Matrices. CoRR Shun Watanabe, Geoffrey Wolfer
2024	J	`jnl`	Systematic Approaches to Generate Reversiblizations of Markov Chains. IEEE Trans. Inf. Theory Michael C. H. Choi, Geoffrey Wolfer
2023	J	`jnl`	A Geometric Reduction Approach for Identity Testing of Reversible Markov Chains. CoRR Geoffrey Wolfer, Shun Watanabe
2023	J	`jnl`	Dimension-Free Empirical Entropy Estimation. IEEE Trans. Inf. Theory Doron Cohen, Aryeh Kontorovich, Aaron Koolyk, Geoffrey Wolfer
2023	—	`conf`	Geometric Reduction for Identity Testing of Reversible Markov Chains. GSI (1) Geoffrey Wolfer, Shun Watanabe
2023	J	`jnl`	Markov chain entropy games and the geometry of their Nash equilibria. CoRR Michael C. H. Choi, Geoffrey Wolfer
2023	J	`jnl`	Systematic approaches to generate reversiblizations of non-reversible Markov chains. CoRR Michael C. H. Choi, Geoffrey Wolfer
2022	J	`jnl`	Geometric Aspects of Data-Processing of Markov Chains. CoRR Geoffrey Wolfer, Shun Watanabe
2022	A	`conf`	Identity Testing of Reversible Markov Chains. AISTATS Sela Fried, Geoffrey Wolfer
2022	J	`jnl`	Variance-Aware Estimation of Kernel Mean Embedding. CoRR Geoffrey Wolfer, Pierre Alquier
2021	J	`jnl`	Dimension-Free Empirical Entropy Estimation. CoRR Doron Cohen, Aryeh Kontorovich, Aaron Koolyk, Geoffrey Wolfer
2021	A*	`conf`	Dimension-free empirical entropy estimation. NeurIPS Doron Cohen, Aryeh Kontorovich, Aaron Koolyk, Geoffrey Wolfer
2021	J	`jnl`	Identity testing of reversible Markov chains. CoRR Sela Fried, Geoffrey Wolfer
2021	J	`jnl`	Information Geometry of Reversible Markov Chains. CoRR Geoffrey Wolfer, Shun Watanabe
2021	J	`jnl`	On the α-lazy version of Markov chains in estimation and testing problems. CoRR Sela Fried, Geoffrey Wolfer
2020	A*	`conf`	Learning discrete distributions with infinite support. NeurIPS Doron Cohen, Aryeh Kontorovich, Geoffrey Wolfer
2020	A	`conf`	Minimax Testing of Identity to a Reference Ergodic Markov Chain. AISTATS Geoffrey Wolfer, Aryeh Kontorovich
2020	B	`conf`	Mixing Time Estimation in Ergodic Markov Chains from a Single Trajectory with Contraction Methods. ALT Geoffrey Wolfer
2019	A*	`conf`	Estimating the Mixing Time of Ergodic Markov Chains. COLT Geoffrey Wolfer, Aryeh Kontorovich
2019	J	`jnl`	Estimating the Mixing Time of Ergodic Markov Chains. CoRR Geoffrey Wolfer, Aryeh Kontorovich
2019	B	`conf`	Minimax Learning of Ergodic Markov Chains. ALT Geoffrey Wolfer, Aryeh Kontorovich
2019	J	`jnl`	Mixing Time Estimation in Ergodic Markov Chains from a Single Trajectory with Contraction Methods. CoRR Geoffrey Wolfer
2018	J	`jnl`	Minimax Learning of Ergodic Markov Chains. CoRR Geoffrey Wolfer, Aryeh Kontorovich