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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
ArXivPDFHTML

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

29 / 29 papers shown
Title
Concentration Inequalities for Statistical Inference
Concentration Inequalities for Statistical Inference
Huiming Zhang
Songxi Chen
53
63
0
24 Feb 2025
Mixing Time of the Proximal Sampler in Relative Fisher Information via Strong Data Processing Inequality
Andre Wibisono
53
1
0
08 Feb 2025
Beyond Log-Concavity and Score Regularity: Improved Convergence Bounds for Score-Based Generative Models in W2-distance
Beyond Log-Concavity and Score Regularity: Improved Convergence Bounds for Score-Based Generative Models in W2-distance
Marta Gentiloni-Silveri
Antonio Ocello
40
2
0
04 Jan 2025
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
33
4
0
22 Nov 2023
Tester-Learners for Halfspaces: Universal Algorithms
Tester-Learners for Halfspaces: Universal Algorithms
Aravind Gollakota
Adam R. Klivans
Konstantinos Stavropoulos
Arsen Vasilyan
37
8
0
19 May 2023
An Efficient Tester-Learner for Halfspaces
An Efficient Tester-Learner for Halfspaces
Aravind Gollakota
Adam R. Klivans
Konstantinos Stavropoulos
Arsen Vasilyan
25
10
0
28 Feb 2023
A Sequential Test for Log-Concavity
A Sequential Test for Log-Concavity
Aditya Gangrade
Alessandro Rinaldo
Aaditya Ramdas
33
12
0
09 Jan 2023
Hit-and-run mixing via localization schemes
Hit-and-run mixing via localization schemes
Yuansi Chen
Ronen Eldan
28
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
28
18
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
33
4
0
29 Sep 2022
Statistical inference with regularized optimal transport
Statistical inference with regularized optimal transport
Ziv Goldfeld
Kengo Kato
Gabriel Rioux
Ritwik Sadhu
OT
44
34
0
09 May 2022
Geometric Methods for Sampling, Optimisation, Inference and Adaptive
  Agents
Geometric Methods for Sampling, Optimisation, Inference and Adaptive Agents
Alessandro Barp
Lancelot Da Costa
G. Francca
Karl J. Friston
Mark Girolami
Michael I. Jordan
G. Pavliotis
33
25
0
20 Mar 2022
No-Regret Learning in Partially-Informed Auctions
No-Regret Learning in Partially-Informed Auctions
Wenshuo Guo
Michael I. Jordan
Ellen Vitercik
10
9
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
48
3
0
30 Dec 2021
A Categorical Semantics of Fuzzy Concepts in Conceptual Spaces
A Categorical Semantics of Fuzzy Concepts in Conceptual Spaces
Sean Tull
17
6
0
12 Oct 2021
Real-Time Optimisation for Online Learning in Auctions
Real-Time Optimisation for Online Learning in Auctions
Lorenzo Croissant
Marc Abeille
Clément Calauzènes
13
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
26
7
0
08 Oct 2020
Testing Forecast Rationality for Measures of Central Tendency
Testing Forecast Rationality for Measures of Central Tendency
Timo Dimitriadis
Andrew J. Patton
Patrick Schmidt
25
9
0
28 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
33
8
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
36
23
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
33
46
0
25 Mar 2019
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
29
20
0
11 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
16
24
0
28 Feb 2018
Recent progress in log-concave density estimation
Recent progress in log-concave density estimation
R. Samworth
27
75
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
21
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
32
30
0
09 Jun 2016
Learning Multivariate Log-concave Distributions
Learning Multivariate Log-concave Distributions
Ilias Diakonikolas
D. Kane
Alistair Stewart
34
30
0
26 May 2016
Online Isotonic Regression
Online Isotonic Regression
W. Kotłowski
Wouter M. Koolen
Alan Malek
33
18
0
14 Mar 2016
Theoretical guarantees for approximate sampling from smooth and
  log-concave densities
Theoretical guarantees for approximate sampling from smooth and log-concave densities
A. Dalalyan
27
513
0
23 Dec 2014
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