ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2002.00291
  4. Cited By
Oracle Lower Bounds for Stochastic Gradient Sampling Algorithms
v1v2v3 (latest)

Oracle Lower Bounds for Stochastic Gradient Sampling Algorithms

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
Title
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
81
2
0
27 May 2024
Query lower bounds for log-concave sampling
Query lower bounds for log-concave sampling
Sinho Chewi
Jaume de Dios Pont
Jerry Li
Chen Lu
Shyam Narayanan
95
8
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 Inequality
Alireza Mousavi-Hosseini
Tyler Farghly
Ye He
Krishnakumar Balasubramanian
Murat A. Erdogdu
116
27
0
07 Mar 2023
Fisher information lower bounds for sampling
Fisher information lower bounds for sampling
Sinho Chewi
P. Gerber
Holden Lee
Chen Lu
113
15
0
05 Oct 2022
Lower Bounds on Metropolized Sampling Methods for Well-Conditioned
  Distributions
Lower Bounds on Metropolized Sampling Methods for Well-Conditioned Distributions
Y. Lee
Ruoqi Shen
Kevin Tian
54
20
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 dimension
Sinho Chewi
P. Gerber
Chen Lu
Thibaut Le Gouic
Philippe Rigollet
87
21
0
29 May 2021
1