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Oracle Lower Bounds for Stochastic Gradient Sampling Algorithms
v1v2v3 (latest)

Oracle Lower Bounds for Stochastic Gradient Sampling Algorithms

Bernoulli (Bernoulli), 2020
1 February 2020
Niladri S. Chatterji
Peter L. Bartlett
Philip M. Long
ArXiv (abs)PDFHTML

Papers citing "Oracle Lower Bounds for Stochastic Gradient Sampling Algorithms"

6 / 6 papers shown
A Separation in Heavy-Tailed Sampling: Gaussian vs. Stable Oracles for
  Proximal Samplers
A Separation in Heavy-Tailed Sampling: Gaussian vs. Stable Oracles for Proximal Samplers
Ye He
Alireza Mousavi-Hosseini
Krishnakumar Balasubramanian
Murat A. Erdogdu
322
4
0
27 May 2024
Query lower bounds for log-concave sampling
Query lower bounds for log-concave samplingIEEE Annual Symposium on Foundations of Computer Science (FOCS), 2023
Sinho Chewi
Jaume de Dios Pont
Jerry Li
Chen Lu
Shyam Narayanan
454
16
0
05 Apr 2023
Towards a Complete Analysis of Langevin Monte Carlo: Beyond Poincaré
  Inequality
Towards a Complete Analysis of Langevin Monte Carlo: Beyond Poincaré InequalityAnnual Conference Computational Learning Theory (COLT), 2023
Alireza Mousavi-Hosseini
Tyler Farghly
Ye He
Krishnakumar Balasubramanian
Murat A. Erdogdu
437
33
0
07 Mar 2023
Fisher information lower bounds for sampling
Fisher information lower bounds for samplingInternational Conference on Algorithmic Learning Theory (ALT), 2022
Sinho Chewi
P. Gerber
Holden Lee
Chen Lu
283
15
0
05 Oct 2022
Lower Bounds on Metropolized Sampling Methods for Well-Conditioned
  Distributions
Lower Bounds on Metropolized Sampling Methods for Well-Conditioned DistributionsNeural Information Processing Systems (NeurIPS), 2021
Y. Lee
Ruoqi Shen
Kevin Tian
255
24
0
10 Jun 2021
The query complexity of sampling from strongly log-concave distributions
  in one dimension
The query complexity of sampling from strongly log-concave distributions in one dimensionAnnual Conference Computational Learning Theory (COLT), 2021
Sinho Chewi
P. Gerber
Chen Lu
Thibaut Le Gouic
Philippe Rigollet
351
23
0
29 May 2021
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