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Log-concavity and strong log-concavity: a review

Log-concavity and strong log-concavity: a review

23 April 2014
Adrien Saumard
J. Wellner
ArXiv (abs)PDFHTML

Papers citing "Log-concavity and strong log-concavity: a review"

50 / 57 papers shown
Title
Mixing Time of the Proximal Sampler in Relative Fisher Information via Strong Data Processing Inequality
Mixing Time of the Proximal Sampler in Relative Fisher Information via Strong Data Processing Inequality
Andre Wibisono
122
1
0
01 Jul 2025
Multilevel neural simulation-based inference
Multilevel neural simulation-based inference
Yuga Hikida
Ayush Bharti
Niall Jeffrey
F. Briol
55
0
0
06 Jun 2025
Geometry Meets Incentives: Sample-Efficient Incentivized Exploration with Linear Contexts
Geometry Meets Incentives: Sample-Efficient Incentivized Exploration with Linear Contexts
Benjamin Schiffer
Mark Sellke
52
0
0
02 Jun 2025
Learning Latent Variable Models via Jarzynski-adjusted Langevin Algorithm
Learning Latent Variable Models via Jarzynski-adjusted Langevin Algorithm
James Cuin
Davide Carbone
O. Deniz Akyildiz
57
0
0
23 May 2025
Concentration Inequalities for Statistical Inference
Concentration Inequalities for Statistical Inference
Huiming Zhang
Songxi Chen
207
63
0
24 Feb 2025
Adversarial Transform Particle Filters
Chengxin Gong
Wei Lin
Cheng Zhang
81
0
0
10 Feb 2025
Proximal Interacting Particle Langevin Algorithms
Proximal Interacting Particle Langevin Algorithms
Paula Cordero Encinar
F. R. Crucinio
O. Deniz Akyildiz
109
5
0
20 Jun 2024
Convergence of coordinate ascent variational inference for log-concave
  measures via optimal transport
Convergence of coordinate ascent variational inference for log-concave measures via optimal transport
Manuel Arnese
Daniel Lacker
49
11
0
12 Apr 2024
Taming the Interacting Particle Langevin Algorithm: The Superlinear case
Taming the Interacting Particle Langevin Algorithm: The Superlinear case
Tim Johnston
Nikolaos Makras
Sotirios Sabanis
111
2
0
28 Mar 2024
Accelerating Approximate Thompson Sampling with Underdamped Langevin
  Monte Carlo
Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo
Haoyang Zheng
Wei Deng
Christian Moya
Guang Lin
94
6
0
22 Jan 2024
On diffusion-based generative models and their error bounds: The
  log-concave case with full convergence estimates
On diffusion-based generative models and their error bounds: The log-concave case with full convergence estimates
Stefano Bruno
Ying Zhang
Dong-Young Lim
Ömer Deniz Akyildiz
Sotirios Sabanis
DiffM
110
5
0
22 Nov 2023
Anti-concentration of Suprema of Gaussian Processes and Gaussian Order
  Statistics
Anti-concentration of Suprema of Gaussian Processes and Gaussian Order Statistics
Alexander Giessing
67
2
0
18 Oct 2023
A Bootstrap Hypothesis Test for High-Dimensional Mean Vectors
A Bootstrap Hypothesis Test for High-Dimensional Mean Vectors
Alexander Giessing
Jianqing Fan
60
2
0
03 Sep 2023
A Sequential Test for Log-Concavity
A Sequential Test for Log-Concavity
Aditya Gangrade
Alessandro Rinaldo
Aaditya Ramdas
55
12
0
09 Jan 2023
Extreme eigenvalues of Log-concave Ensemble
Extreme eigenvalues of Log-concave Ensemble
Z. Bao
Xiao‐Chuan Xu
57
1
0
22 Dec 2022
Grafting Laplace and Gaussian distributions: A new noise mechanism for
  differential privacy
Grafting Laplace and Gaussian distributions: A new noise mechanism for differential privacy
Gokularam Muthukrishnan
Sheetal Kalyani
103
14
0
19 Dec 2022
Hit-and-run mixing via localization schemes
Hit-and-run mixing via localization schemes
Yuansi Chen
Ronen Eldan
58
5
0
01 Dec 2022
A Finite-Particle Convergence Rate for Stein Variational Gradient
  Descent
A Finite-Particle Convergence Rate for Stein Variational Gradient Descent
Jiaxin Shi
Lester W. Mackey
79
20
0
17 Nov 2022
How good is your Laplace approximation of the Bayesian posterior?
  Finite-sample computable error bounds for a variety of useful divergences
How good is your Laplace approximation of the Bayesian posterior? Finite-sample computable error bounds for a variety of useful divergences
Mikolaj Kasprzak
Ryan Giordano
Tamara Broderick
66
0
0
29 Sep 2022
Tyler's and Maronna's M-estimators: Non-Asymptotic Concentration Results
Tyler's and Maronna's M-estimators: Non-Asymptotic Concentration Results
Elad Romanov
Gil Kur
B. Nadler
79
3
0
21 Jun 2022
Log-concave density estimation in undirected graphical models
Log-concave density estimation in undirected graphical models
Kaie Kubjas
Olga Kuznetsova
Elina Robeva
Pardis Semnani
Luca Sodomaco
36
1
0
10 Jun 2022
Statistical inference with regularized optimal transport
Statistical inference with regularized optimal transport
Ziv Goldfeld
Kengo Kato
Gabriel Rioux
Ritwik Sadhu
OT
77
36
0
09 May 2022
Differential privacy for symmetric log-concave mechanisms
Differential privacy for symmetric log-concave mechanisms
S. Vinterbo
58
4
0
23 Feb 2022
No-Regret Learning in Partially-Informed Auctions
No-Regret Learning in Partially-Informed Auctions
Wenshuo Guo
Michael I. Jordan
Ellen Vitercik
59
10
0
22 Feb 2022
Variable selection, monotone likelihood ratio and group sparsity
Variable selection, monotone likelihood ratio and group sparsity
C. Butucea
E. Mammen
M. Ndaoud
Alexandre B. Tsybakov
101
4
0
30 Dec 2021
Optimization-Based Separations for Neural Networks
Optimization-Based Separations for Neural Networks
Itay Safran
Jason D. Lee
377
14
0
04 Dec 2021
A Categorical Semantics of Fuzzy Concepts in Conceptual Spaces
A Categorical Semantics of Fuzzy Concepts in Conceptual Spaces
Sean Tull
65
6
0
12 Oct 2021
Feedback Coding for Active Learning
Feedback Coding for Active Learning
Gregory H. Canal
Matthieu R. Bloch
Christopher Rozell
27
0
0
28 Feb 2021
Real-Time Optimisation for Online Learning in Auctions
Real-Time Optimisation for Online Learning in Auctions
Lorenzo Croissant
Marc Abeille
Clément Calauzènes
65
4
0
20 Oct 2020
On the cost of Bayesian posterior mean strategy for log-concave models
On the cost of Bayesian posterior mean strategy for log-concave models
S. Gadat
Fabien Panloup
Clément Pellegrini
59
7
0
08 Oct 2020
Strong replica symmetry for high-dimensional disordered log-concave
  Gibbs measures
Strong replica symmetry for high-dimensional disordered log-concave Gibbs measures
Jean Barbier
D. Panchenko
Manuel Sáenz
93
10
0
27 Sep 2020
Relaxing the Gaussian assumption in Shrinkage and SURE in high dimension
Relaxing the Gaussian assumption in Shrinkage and SURE in high dimension
M. Fathi
L. Goldstein
Gesine Reinert
Adrien Saumard
60
9
0
03 Apr 2020
Profile Entropy: A Fundamental Measure for the Learnability and
  Compressibility of Discrete Distributions
Profile Entropy: A Fundamental Measure for the Learnability and Compressibility of Discrete Distributions
Yi Hao
A. Orlitsky
38
11
0
26 Feb 2020
On Thompson Sampling with Langevin Algorithms
On Thompson Sampling with Langevin Algorithms
Eric Mazumdar
Aldo Pacchiano
Yi-An Ma
Peter L. Bartlett
Michael I. Jordan
67
11
0
23 Feb 2020
High-dimensional Central Limit Theorems by Stein's Method
High-dimensional Central Limit Theorems by Stein's Method
Xiao Fang
Yuta Koike
92
42
0
29 Jan 2020
From the Bernoulli Factory to a Dice Enterprise via Perfect Sampling of
  Markov Chains
From the Bernoulli Factory to a Dice Enterprise via Perfect Sampling of Markov Chains
Giulio Morina
Krzysztof Latuszynski
P. Nayar
Alex Wendland
59
9
0
19 Dec 2019
Error bound of critical points and KL property of exponent $1/2$ for
  squared F-norm regularized factorization
Error bound of critical points and KL property of exponent 1/21/21/2 for squared F-norm regularized factorization
Ting Tao
S. Pan
Shujun Bi
44
4
0
11 Nov 2019
Testing Forecast Rationality for Measures of Central Tendency
Testing Forecast Rationality for Measures of Central Tendency
Timo Dimitriadis
Andrew J. Patton
Patrick Schmidt
86
9
0
28 Oct 2019
The density ratio of Poisson binomial versus Poisson distributions
The density ratio of Poisson binomial versus Poisson distributions
L. Duembgen
J. Wellner
42
1
0
08 Oct 2019
A Polynomial Time Algorithm for Log-Concave Maximum Likelihood via
  Locally Exponential Families
A Polynomial Time Algorithm for Log-Concave Maximum Likelihood via Locally Exponential Families
Brian Axelrod
Ilias Diakonikolas
Anastasios Sidiropoulos
Alistair Stewart
Gregory Valiant
86
9
0
18 Jul 2019
Active embedding search via noisy paired comparisons
Active embedding search via noisy paired comparisons
Gregory H. Canal
A. Massimino
Mark A. Davenport
Christopher Rozell
80
24
0
10 May 2019
Fundamental Barriers to High-Dimensional Regression with Convex
  Penalties
Fundamental Barriers to High-Dimensional Regression with Convex Penalties
Michael Celentano
Andrea Montanari
98
48
0
25 Mar 2019
Density estimation for shift-invariant multidimensional distributions
Density estimation for shift-invariant multidimensional distributions
Jonathan Levy
M. J. van der Laan
Rocco A. Servedio
OOD
65
5
0
09 Nov 2018
Weighted Poincaré inequalities, concentration inequalities and tail
  bounds related to the Stein kernels in dimension one
Weighted Poincaré inequalities, concentration inequalities and tail bounds related to the Stein kernels in dimension one
Adrien Saumard
68
20
0
11 Apr 2018
Should We Adjust for the Test for Pre-trends in Difference-in-Difference
  Designs?
Should We Adjust for the Test for Pre-trends in Difference-in-Difference Designs?
J. Roth
35
13
0
04 Apr 2018
Near-Optimal Sample Complexity Bounds for Maximum Likelihood Estimation
  of Multivariate Log-concave Densities
Near-Optimal Sample Complexity Bounds for Maximum Likelihood Estimation of Multivariate Log-concave Densities
Timothy Carpenter
Ilias Diakonikolas
Anastasios Sidiropoulos
Alistair Stewart
73
24
0
28 Feb 2018
Computing the quality of the Laplace approximation
Computing the quality of the Laplace approximation
Guillaume P. Dehaene
51
7
0
24 Nov 2017
Recent progress in log-concave density estimation
Recent progress in log-concave density estimation
R. Samworth
61
76
0
10 Sep 2017
Distribution System Voltage Control under Uncertainties using Tractable
  Chance Constraints
Distribution System Voltage Control under Uncertainties using Tractable Chance Constraints
Pan Li
Baihong Jin
Dai Wang
Baosen Zhang
43
6
0
28 Apr 2017
Efficient Robust Proper Learning of Log-concave Distributions
Efficient Robust Proper Learning of Log-concave Distributions
Ilias Diakonikolas
D. Kane
Alistair Stewart
82
30
0
09 Jun 2016
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