From post

Monte Carlo Markov Chain Algorithms for Sampling Strongly Rayleigh Distributions and Determinantal Point Processes.

, , и . COLT, том 49 из JMLR Workshop and Conference Proceedings, стр. 103-115. JMLR.org, (2016)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

 

Другие публикации лиц с тем же именем

Entropic independence: optimal mixing of down-up random walks., , , , и . STOC, стр. 1418-1430. ACM, (2022)Effective-Resistance-Reducing Flows, Spectrally Thin Trees, and Asymmetric TSP., и . FOCS, стр. 20-39. IEEE Computer Society, (2015)Monte Carlo Markov Chain Algorithms for Sampling Strongly Rayleigh Distributions and Determinantal Point Processes., , и . COLT, том 49 из JMLR Workshop and Conference Proceedings, стр. 103-115. JMLR.org, (2016)Spectral Independence in High-Dimensional Expanders and Applications to the Hardcore Model., , и . FOCS, стр. 1319-1330. IEEE, (2020)Learning Multimodal Rewards from Rankings., , , и . CoRL, том 164 из Proceedings of Machine Learning Research, стр. 342-352. PMLR, (2021)Parallel Sampling of Diffusion Models., , , , и . CoRR, (2023)Log-Concave Polynomials IV: Exchange Properties, Tight Mixing Times, and Faster Sampling of Spanning Trees., , , и . CoRR, (2020)Euclidean Movement Minimization., , , , и . CCCG, (2011)Log-concave polynomials II: high-dimensional walks and an FPRAS for counting bases of a matroid., , , и . STOC, стр. 1-12. ACM, (2019)Parallel Sampling via Counting., , и . STOC, стр. 537-548. ACM, (2024)