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Bibliographic Details
Main Authors:	Katsevich, Anya, Rigollet, Philippe
Format:	Preprint
Published:	2023
Subjects:	Statistics Theory
Online Access:	https://arxiv.org/abs/2301.02168
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The Laplace approximation accuracy in high dimensions: a refined analysis and new skew adjustment
by: Katsevich, Anya
Published: (2023)

Improved dimension dependence in the Bernstein von Mises Theorem via a new Laplace approximation bound
by: Katsevich, Anya
Published: (2023)

Asymptotic analysis of rare events in high dimensions
by: Katsevich, Anya, et al.
Published: (2025)

High-dimensional Laplace asymptotics up to the concentration threshold
by: Katsevich, Alexander, et al.
Published: (2026)

The Laplace asymptotic expansion in high dimensions
by: Katsevich, Anya
Published: (2024)

A unified theory of the high-dimensional Laplace approximation with application to Bayesian inverse problems
by: Katsevich, Anya, et al.
Published: (2025)

Saddle Point Approximation and Central Limit Theorem for Densities in high dimensions
by: Katsevich, Alexander
Published: (2025)

Gaussian mixture layers for neural networks
by: Chewi, Sinho, et al.
Published: (2025)

On the number of modes of Gaussian kernel density estimators
by: Geshkovski, Borjan, et al.
Published: (2024)

An Optimal Transport Approach to Estimating Causal Effects via Nonlinear Difference-in-Differences
by: Torous, William, et al.
Published: (2021)

Statistical optimal transport
by: Chewi, Sinho, et al.
Published: (2024)

The spectrum of perturbed (3, 10) minimal model
by: Katsevich, Andrei
Published: (2024)

Location Tests with Noisy Proxies for Latent Variables
by: Deutsch, Louis, et al.
Published: (2025)

A Generalized Tangent Approximation based Variational Inference Framework for Strongly Super-Gaussian Likelihoods
by: Roy, Somjit, et al.
Published: (2025)

Power of masking methods for adaptive testing in a multivariate normal means problem
by: Chakraborty, Abhinav, et al.
Published: (2026)

The saddlepoint approximation for averages of conditionally independent random variables
by: Niu, Ziang, et al.
Published: (2024)

Propagation of Chaos in Contextual Flow Maps
by: Chen, Shi, et al.
Published: (2026)

Scaling Limits of Long-Context Transformers
by: Bruno, Giuseppe, et al.
Published: (2026)

Statistical microlocal analysis in two-dimensional X-ray CT
by: Abhishek, Anuj, et al.
Published: (2025)

Robust Bayesian Inference via Variational Approximations of Generalized Rho-Posteriors
by: Khribch, EL Mahdi, et al.
Published: (2026)

$\mathcal{PT}$-symmetric Field Theories at Finite Temperature
by: Diatlyk, Oleksandr, et al.
Published: (2026)

Ginzburg-Landau description of a class of non-unitary minimal models
by: Katsevich, Andrei, et al.
Published: (2024)

On Gaussian Approximation for M-Estimator
by: Imaizumi, Masaaki, et al.
Published: (2020)

Variational Gaussian Approximation in Replica Analysis of Parametric Models
by: Takahashi, Takashi
Published: (2025)

Towards a Quintic Ginzburg-Landau Description of the $(2,7)$ Minimal Model
by: Katsevich, Andrei, et al.
Published: (2025)

Retraining as Approximate Bayesian Inference
by: Katz, Harrison
Published: (2026)

Universal Bootstrap for Spectral Statistics: Beyond Gaussian Approximation
by: Zhang, Guoyu, et al.
Published: (2024)

Exact and Approximate Conformal Inference for Multi-Output Regression
by: Johnstone, Chancellor, et al.
Published: (2022)

Gaussian Processes for Observational Dose-Response Inference
by: Dailey, Jake R.
Published: (2024)

Gaussian Approximations for the $k$th coordinate of sums of random vectors
by: Ding, Yixi, et al.
Published: (2024)

Constrained Fiducial Inference for Gaussian Models
by: Flury, Hank, et al.
Published: (2026)

Gaussian Approximation for High-Dimensional $U$-statistics with Size-Dependent Kernels
by: Imai, Shunsuke, et al.
Published: (2025)

Radial Neighbors for Provably Accurate Scalable Approximations of Gaussian Processes
by: Zhu, Yichen, et al.
Published: (2022)

Gaussian Approximation For Non-stationary Time Series with Optimal Rate and Explicit Construction
by: Bonnerjee, Soham, et al.
Published: (2024)

Tracy-Widom, Gaussian, and Bootstrap: Approximations for Leading Eigenvalues in High-Dimensional PCA
by: Dörnemann, Nina, et al.
Published: (2025)

Gaussian Approximation for Lag-Window Estimators and the Construction of Confidence bands for the Spectral Density
by: Kreiss, Jens-Peter, et al.
Published: (2024)

Variational Causal Inference
by: Wu, Yulun, et al.
Published: (2022)

Two-Sample Inference for Gaussian-Smoothed Wasserstein Costs with Finite Moments
by: Yang, Jiaping, et al.
Published: (2026)

An Equivalence between Bayesian Priors and Penalties in Variational Inference
by: Wolinski, Pierre, et al.
Published: (2020)

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