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Geoffrey Wolfer
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2020 – today
- 2024
- [j2]Michael C. H. Choi, Geoffrey Wolfer:
Systematic Approaches to Generate Reversiblizations of Markov Chains. IEEE Trans. Inf. Theory 70(5): 3145-3161 (2024) - [i13]Michael C. H. Choi, Youjia Wang, Geoffrey Wolfer:
A rate-distortion framework for MCMC algorithms: geometry and factorization of multivariate Markov chains. CoRR abs/2404.12589 (2024) - 2023
- [j1]Doron Cohen, Aryeh Kontorovich, Aaron Koolyk, Geoffrey Wolfer:
Dimension-Free Empirical Entropy Estimation. IEEE Trans. Inf. Theory 69(5): 3190-3202 (2023) - [c8]Geoffrey Wolfer, Shun Watanabe:
Geometric Reduction for Identity Testing of Reversible Markov Chains. GSI (1) 2023: 328-337 - [i12]Geoffrey Wolfer, Shun Watanabe:
A Geometric Reduction Approach for Identity Testing of Reversible Markov Chains. CoRR abs/2302.08059 (2023) - [i11]Michael C. H. Choi, Geoffrey Wolfer:
Systematic approaches to generate reversiblizations of non-reversible Markov chains. CoRR abs/2303.03650 (2023) - [i10]Michael C. H. Choi, Geoffrey Wolfer:
Markov chain entropy games and the geometry of their Nash equilibria. CoRR abs/2310.04115 (2023) - 2022
- [c7]Sela Fried, Geoffrey Wolfer:
Identity Testing of Reversible Markov Chains. AISTATS 2022: 798-817 - [i9]Geoffrey Wolfer, Shun Watanabe:
Geometric Aspects of Data-Processing of Markov Chains. CoRR abs/2203.04575 (2022) - [i8]Geoffrey Wolfer, Pierre Alquier:
Variance-Aware Estimation of Kernel Mean Embedding. CoRR abs/2210.06672 (2022) - 2021
- [c6]Doron Cohen, Aryeh Kontorovich, Aaron Koolyk, Geoffrey Wolfer:
Dimension-free empirical entropy estimation. NeurIPS 2021: 13911-13923 - [i7]Sela Fried, Geoffrey Wolfer:
Identity testing of reversible Markov chains. CoRR abs/2105.06347 (2021) - [i6]Doron Cohen, Aryeh Kontorovich, Aaron Koolyk, Geoffrey Wolfer:
Dimension-Free Empirical Entropy Estimation. CoRR abs/2105.07408 (2021) - [i5]Sela Fried, Geoffrey Wolfer:
On the α-lazy version of Markov chains in estimation and testing problems. CoRR abs/2105.09536 (2021) - [i4]Geoffrey Wolfer, Shun Watanabe:
Information Geometry of Reversible Markov Chains. CoRR abs/2106.05669 (2021) - 2020
- [c5]Geoffrey Wolfer, Aryeh Kontorovich:
Minimax Testing of Identity to a Reference Ergodic Markov Chain. AISTATS 2020: 191-201 - [c4]Geoffrey Wolfer:
Mixing Time Estimation in Ergodic Markov Chains from a Single Trajectory with Contraction Methods. ALT 2020: 890-905 - [c3]Doron Cohen, Aryeh Kontorovich, Geoffrey Wolfer:
Learning discrete distributions with infinite support. NeurIPS 2020
2010 – 2019
- 2019
- [c2]Geoffrey Wolfer, Aryeh Kontorovich:
Minimax Learning of Ergodic Markov Chains. ALT 2019: 903-929 - [c1]Geoffrey Wolfer, Aryeh Kontorovich:
Estimating the Mixing Time of Ergodic Markov Chains. COLT 2019: 3120-3159 - [i3]Geoffrey Wolfer, Aryeh Kontorovich:
Estimating the Mixing Time of Ergodic Markov Chains. CoRR abs/1902.01224 (2019) - [i2]Geoffrey Wolfer:
Mixing Time Estimation in Ergodic Markov Chains from a Single Trajectory with Contraction Methods. CoRR abs/1912.06845 (2019) - 2018
- [i1]Geoffrey Wolfer, Aryeh Kontorovich:
Minimax Learning of Ergodic Markov Chains. CoRR abs/1809.05014 (2018)
Coauthor Index
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last updated on 2024-10-31 20:16 CET by the dblp team
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