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Truncated Log-concave Sampling with Reflective Hamiltonian Monte Carlo
v1v2v3 (latest)

Truncated Log-concave Sampling with Reflective Hamiltonian Monte Carlo

25 February 2021
Apostolos Chalkis
Vissarion Fisikopoulos
Marios Papachristou
Elias P. Tsigaridas
ArXiv (abs)PDFHTML

Papers citing "Truncated Log-concave Sampling with Reflective Hamiltonian Monte Carlo"

30 / 30 papers shown
Title
Efficient computation of the volume of a polytope in high-dimensions
  using Piecewise Deterministic Markov Processes
Efficient computation of the volume of a polytope in high-dimensions using Piecewise Deterministic Markov Processes
Augustin Chevallier
F. Cazals
Paul Fearnhead
46
13
0
18 Feb 2022
An Introduction to Hamiltonian Monte Carlo Method for Sampling
An Introduction to Hamiltonian Monte Carlo Method for Sampling
Nisheeth K. Vishnoi
57
14
0
27 Aug 2021
Computationally and Statistically Efficient Truncated Regression
Computationally and Statistically Efficient Truncated Regression
C. Daskalakis
Themis Gouleakis
Christos Tzamos
Manolis Zampetakis
46
32
0
22 Oct 2020
Structured Logconcave Sampling with a Restricted Gaussian Oracle
Structured Logconcave Sampling with a Restricted Gaussian Oracle
Y. Lee
Ruoqi Shen
Kevin Tian
56
72
0
07 Oct 2020
Truncated Linear Regression in High Dimensions
Truncated Linear Regression in High Dimensions
C. Daskalakis
Dhruv Rohatgi
Manolis Zampetakis
34
14
0
29 Jul 2020
High-dimensional MCMC with a standard splitting scheme for the
  underdamped Langevin diffusion
High-dimensional MCMC with a standard splitting scheme for the underdamped Langevin diffusion
Pierre Monmarché
51
46
0
10 Jul 2020
Composite Logconcave Sampling with a Restricted Gaussian Oracle
Composite Logconcave Sampling with a Restricted Gaussian Oracle
Ruoqi Shen
Kevin Tian
Y. Lee
34
10
0
10 Jun 2020
Logsmooth Gradient Concentration and Tighter Runtimes for Metropolized
  Hamiltonian Monte Carlo
Logsmooth Gradient Concentration and Tighter Runtimes for Metropolized Hamiltonian Monte Carlo
Y. Lee
Ruoqi Shen
Kevin Tian
58
37
0
10 Feb 2020
An Efficient Sampling Algorithm for Non-smooth Composite Potentials
An Efficient Sampling Algorithm for Non-smooth Composite Potentials
Wenlong Mou
Nicolas Flammarion
Martin J. Wainwright
Peter L. Bartlett
45
24
0
01 Oct 2019
The Randomized Midpoint Method for Log-Concave Sampling
The Randomized Midpoint Method for Log-Concave Sampling
Ruoqi Shen
Y. Lee
103
118
0
12 Sep 2019
Stochastic Runge-Kutta Accelerates Langevin Monte Carlo and Beyond
Stochastic Runge-Kutta Accelerates Langevin Monte Carlo and Beyond
Xuechen Li
Denny Wu
Lester W. Mackey
Murat A. Erdogdu
54
71
0
19 Jun 2019
Fast mixing of Metropolized Hamiltonian Monte Carlo: Benefits of
  multi-step gradients
Fast mixing of Metropolized Hamiltonian Monte Carlo: Benefits of multi-step gradients
Yuansi Chen
Raaz Dwivedi
Martin J. Wainwright
Bin Yu
51
101
0
29 May 2019
Optimal Convergence Rate of Hamiltonian Monte Carlo for Strongly
  Logconcave Distributions
Optimal Convergence Rate of Hamiltonian Monte Carlo for Strongly Logconcave Distributions
Zongchen Chen
Santosh Vempala
75
65
0
07 May 2019
Algorithmic Theory of ODEs and Sampling from Well-conditioned Logconcave
  Densities
Algorithmic Theory of ODEs and Sampling from Well-conditioned Logconcave Densities
Y. Lee
Zhao Song
Santosh Vempala
76
37
0
15 Dec 2018
Pyro: Deep Universal Probabilistic Programming
Pyro: Deep Universal Probabilistic Programming
Eli Bingham
Jonathan P. Chen
M. Jankowiak
F. Obermeyer
Neeraj Pradhan
Theofanis Karaletsos
Rohit Singh
Paul A. Szerlip
Paul Horsfall
Noah D. Goodman
BDLGP
158
1,057
0
18 Oct 2018
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Andrew Brock
Jeff Donahue
Karen Simonyan
269
5,404
0
28 Sep 2018
Log-concave sampling: Metropolis-Hastings algorithms are fast
Log-concave sampling: Metropolis-Hastings algorithms are fast
Raaz Dwivedi
Yuansi Chen
Martin J. Wainwright
Bin Yu
66
255
0
08 Jan 2018
Geometric integrators and the Hamiltonian Monte Carlo method
Geometric integrators and the Hamiltonian Monte Carlo method
Nawaf Bou-Rabee
J. Sanz-Serna
58
98
0
14 Nov 2017
Convergence Rate of Riemannian Hamiltonian Monte Carlo and Faster
  Polytope Volume Computation
Convergence Rate of Riemannian Hamiltonian Monte Carlo and Faster Polytope Volume Computation
Y. Lee
Santosh Vempala
63
113
0
17 Oct 2017
Roll-back Hamiltonian Monte Carlo
Roll-back Hamiltonian Monte Carlo
Kexin Yi
Finale Doshi-Velez
BDL
116
8
0
08 Sep 2017
Hamiltonian Monte Carlo with Energy Conserving Subsampling
Hamiltonian Monte Carlo with Energy Conserving Subsampling
Khue-Dung Dang
M. Quiroz
Robert Kohn
Minh-Ngoc Tran
M. Villani
82
62
0
02 Aug 2017
Megapixel Size Image Creation using Generative Adversarial Networks
Megapixel Size Image Creation using Generative Adversarial Networks
Marco Marchesi
GAN
57
83
0
31 May 2017
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNNAI4CE
433
18,361
0
27 May 2016
Geometrically Tempered Hamiltonian Monte Carlo
Geometrically Tempered Hamiltonian Monte Carlo
A. Nishimura
David B. Dunson
39
22
0
04 Apr 2016
Sampling from a log-concave distribution with Projected Langevin Monte
  Carlo
Sampling from a log-concave distribution with Projected Langevin Monte Carlo
Sébastien Bubeck
Ronen Eldan
Joseph Lehec
76
140
0
09 Jul 2015
Fast inverse transform sampling in one and two dimensions
Fast inverse transform sampling in one and two dimensions
S. Olver
Alex Townsend
53
45
0
04 Jul 2013
Proximal Markov chain Monte Carlo algorithms
Proximal Markov chain Monte Carlo algorithms
Marcelo Pereyra
85
178
0
02 Jun 2013
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
292
3,282
0
09 Jun 2012
An Incremental Sampling-based Algorithm for Stochastic Optimal Control
An Incremental Sampling-based Algorithm for Stochastic Optimal Control
V. Huynh
S. Karaman
Emilio Frazzoli
61
61
0
24 Feb 2012
Riemannian Manifold Hamiltonian Monte Carlo
Mark Girolami
B. Calderhead
S. Chin
127
39
0
06 Jul 2009
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