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ORCIDPatrik Gerber
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2020 – today
- 2024
[j2]Patrik Róbert Gerber, Yury Polyanskiy:
Likelihood-Free Hypothesis Testing. IEEE Trans. Inf. Theory 70(11): 7971-8000 (2024)- 2023
- [c6]Sinho Chewi, Patrik Gerber, Holden Lee, Chen Lu:
Fisher information lower bounds for sampling. ALT 2023: 375-410 - [c5]Patrik R. Gerber, Yanjun Han, Yury Polyanskiy:
Minimax optimal testing by classification. COLT 2023: 5395-5432 - [c4]Patrik Róbert Gerber, Tianze Jiang, Yury Polyanskiy, Rui Sun:
Kernel-Based Tests for Likelihood-Free Hypothesis Testing. NeurIPS 2023 - [i8]Patrik Róbert Gerber, Yanjun Han, Yury Polyanskiy:
Minimax optimal testing by classification. CoRR abs/2306.11085 (2023) - [i7]Patrik Róbert Gerber, Tianze Jiang, Yury Polyanskiy, Rui Sun:
Kernel-Based Tests for Likelihood-Free Hypothesis Testing. CoRR abs/2308.09043 (2023) - 2022
- [j1]Sinho Chewi
, Patrik Gerber, Philippe Rigollet, Paxton Turner:
Gaussian discrepancy: A probabilistic relaxation of vector balancing. Discret. Appl. Math. 322: 123-141 (2022) - [c3]Sinho Chewi, Patrik R. Gerber, Chen Lu, Thibaut Le Gouic, Philippe Rigollet:
Rejection sampling from shape-constrained distributions in sublinear time. AISTATS 2022: 2249-2265 - [c2]Sinho Chewi, Patrik R. Gerber, Chen Lu, Thibaut Le Gouic, Philippe Rigollet:
The query complexity of sampling from strongly log-concave distributions in one dimension. COLT 2022: 2041-2059 - [i6]Sinho Chewi, Patrik Gerber, Holden Lee, Chen Lu:
Fisher information lower bounds for sampling. CoRR abs/2210.02482 (2022) - [i5]Patrik Róbert Gerber, Yury Polyanskiy:
Likelihood-free hypothesis testing. CoRR abs/2211.01126 (2022) - 2021
- [c1]Jason M. Altschuler, Sinho Chewi, Patrik Gerber, Austin J. Stromme:
Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent. NeurIPS 2021: 22132-22145 - [i4]Sinho Chewi, Patrik Gerber, Chen Lu, Thibaut Le Gouic, Philippe Rigollet:
The query complexity of sampling from strongly log-concave distributions in one dimension. CoRR abs/2105.14163 (2021) - [i3]Sinho Chewi, Patrik Gerber, Chen Lu, Thibaut Le Gouic, Philippe Rigollet:
Rejection sampling from shape-constrained distributions in sublinear time. CoRR abs/2105.14166 (2021) - [i2]Jason M. Altschuler, Sinho Chewi, Patrik Gerber, Austin J. Stromme:
Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent. CoRR abs/2106.08502 (2021) - [i1]Sinho Chewi, Patrik Gerber, Philippe Rigollet, Paxton Turner:
Gaussian discrepancy: a probabilistic relaxation of vector balancing. CoRR abs/2109.08280 (2021)
Coauthor Index
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