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1404.5886
Cited By
Log-concavity and strong log-concavity: a review
23 April 2014
Adrien Saumard
J. Wellner
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Papers citing
"Log-concavity and strong log-concavity: a review"
50 / 57 papers shown
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Learning Latent Variable Models via Jarzynski-adjusted Langevin Algorithm
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Concentration Inequalities for Statistical Inference
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Adversarial Transform Particle Filters
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Proximal Interacting Particle Langevin Algorithms
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Convergence of coordinate ascent variational inference for log-concave measures via optimal transport
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Taming the Interacting Particle Langevin Algorithm: The Superlinear case
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Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo
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Christian Moya
Guang Lin
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On diffusion-based generative models and their error bounds: The log-concave case with full convergence estimates
Stefano Bruno
Ying Zhang
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Anti-concentration of Suprema of Gaussian Processes and Gaussian Order Statistics
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A Bootstrap Hypothesis Test for High-Dimensional Mean Vectors
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A Sequential Test for Log-Concavity
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Extreme eigenvalues of Log-concave Ensemble
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Hit-and-run mixing via localization schemes
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A Finite-Particle Convergence Rate for Stein Variational Gradient Descent
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How good is your Laplace approximation of the Bayesian posterior? Finite-sample computable error bounds for a variety of useful divergences
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Tyler's and Maronna's M-estimators: Non-Asymptotic Concentration Results
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Log-concave density estimation in undirected graphical models
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Statistical inference with regularized optimal transport
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Differential privacy for symmetric log-concave mechanisms
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No-Regret Learning in Partially-Informed Auctions
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Variable selection, monotone likelihood ratio and group sparsity
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Optimization-Based Separations for Neural Networks
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A Categorical Semantics of Fuzzy Concepts in Conceptual Spaces
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On the cost of Bayesian posterior mean strategy for log-concave models
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Strong replica symmetry for high-dimensional disordered log-concave Gibbs measures
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Relaxing the Gaussian assumption in Shrinkage and SURE in high dimension
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Profile Entropy: A Fundamental Measure for the Learnability and Compressibility of Discrete Distributions
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On Thompson Sampling with Langevin Algorithms
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Aldo Pacchiano
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High-dimensional Central Limit Theorems by Stein's Method
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Yuta Koike
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From the Bernoulli Factory to a Dice Enterprise via Perfect Sampling of Markov Chains
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Krzysztof Latuszynski
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Error bound of critical points and KL property of exponent
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/
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for squared F-norm regularized factorization
Ting Tao
S. Pan
Shujun Bi
44
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Testing Forecast Rationality for Measures of Central Tendency
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Andrew J. Patton
Patrick Schmidt
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The density ratio of Poisson binomial versus Poisson distributions
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A Polynomial Time Algorithm for Log-Concave Maximum Likelihood via Locally Exponential Families
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Anastasios Sidiropoulos
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Gregory Valiant
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Active embedding search via noisy paired comparisons
Gregory H. Canal
A. Massimino
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Fundamental Barriers to High-Dimensional Regression with Convex Penalties
Michael Celentano
Andrea Montanari
98
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Density estimation for shift-invariant multidimensional distributions
Jonathan Levy
M. J. van der Laan
Rocco A. Servedio
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Weighted Poincaré inequalities, concentration inequalities and tail bounds related to the Stein kernels in dimension one
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68
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Should We Adjust for the Test for Pre-trends in Difference-in-Difference Designs?
J. Roth
35
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Near-Optimal Sample Complexity Bounds for Maximum Likelihood Estimation of Multivariate Log-concave Densities
Timothy Carpenter
Ilias Diakonikolas
Anastasios Sidiropoulos
Alistair Stewart
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Computing the quality of the Laplace approximation
Guillaume P. Dehaene
51
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Recent progress in log-concave density estimation
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Distribution System Voltage Control under Uncertainties using Tractable Chance Constraints
Pan Li
Baihong Jin
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Efficient Robust Proper Learning of Log-concave Distributions
Ilias Diakonikolas
D. Kane
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82
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