ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2210.09352
  4. Cited By
A Mixing Time Lower Bound for a Simplified Version of BART

A Mixing Time Lower Bound for a Simplified Version of BART

17 October 2022
Omer Ronen
Theo Saarinen
Yan Shuo Tan
James Duncan
Bin Yu
ArXiv (abs)PDFHTML

Papers citing "A Mixing Time Lower Bound for a Simplified Version of BART"

8 / 8 papers shown
Title
Guided Diffusion Sampling on Function Spaces with Applications to PDEs
Guided Diffusion Sampling on Function Spaces with Applications to PDEs
Jiachen Yao
Abbas Mammadov
Julius Berner
Gavin Kerrigan
Jong Chul Ye
Kamyar Azizzadenesheli
A. Anandkumar
DiffM
265
8
0
22 May 2025
Very fast Bayesian Additive Regression Trees on GPU
Very fast Bayesian Additive Regression Trees on GPU
Giacomo Petrillo
174
0
0
30 Oct 2024
Ranking Perspective for Tree-based Methods with Applications to Symbolic
  Feature Selection
Ranking Perspective for Tree-based Methods with Applications to Symbolic Feature Selection
Hengrui Luo
Meng Li
215
1
0
03 Oct 2024
New directions in algebraic statistics: Three challenges from 2023
New directions in algebraic statistics: Three challenges from 2023
Yulia Alexandr
Miles Bakenhus
Mark Curiel
Sameer K. Deshpande
Elizabeth Gross
...
Vishesh Karwa
Jiayi Li
Hanbaek Lyu
Sonja Petrović
Jose Israel Rodriguez
198
1
0
21 Feb 2024
On Mixing Rates for Bayesian CART
On Mixing Rates for Bayesian CARTElectronic Journal of Statistics (EJS), 2023
Jungeum Kim
Veronika Rockova
281
6
0
31 May 2023
Bayesian Decision Trees via Tractable Priors and Probabilistic
  Context-Free Grammars
Bayesian Decision Trees via Tractable Priors and Probabilistic Context-Free Grammars
Colin D. Sullivan
Mo Tiwari
Sebastian Thrun
Chris Piech
TPM
174
0
0
15 Feb 2023
Stochastic Tree Ensembles for Estimating Heterogeneous Effects
Stochastic Tree Ensembles for Estimating Heterogeneous EffectsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Nikolay M. Krantsevich
Jingyu He
P. R. Hahn
CML
146
15
0
15 Sep 2022
Automated versus do-it-yourself methods for causal inference: Lessons
  learned from a data analysis competition
Automated versus do-it-yourself methods for causal inference: Lessons learned from a data analysis competition
Vincent Dorie
J. Hill
Uri Shalit
M. Scott
D. Cervone
CML
742
316
0
09 Jul 2017
1