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Frederic Koehler

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Sampling Multimodal Distributions with the Vanilla Score: Benefits of Data-Based Initialization

Oct 03, 2023
Frederic Koehler, Thuy-Duong Vuong

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Uniform Convergence with Square-Root Lipschitz Loss

Jun 22, 2023
Lijia Zhou, Zhen Dai, Frederic Koehler, Nathan Srebro

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Feature Adaptation for Sparse Linear Regression

May 26, 2023
Jonathan Kelner, Frederic Koehler, Raghu Meka, Dhruv Rohatgi

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Statistical Efficiency of Score Matching: The View from Isoperimetry

Oct 03, 2022
Frederic Koehler, Alexander Heckett, Andrej Risteski

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Distributional Hardness Against Preconditioned Lasso via Erasure-Robust Designs

Mar 05, 2022
Jonathan A. Kelner, Frederic Koehler, Raghu Meka, Dhruv Rohatgi

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Sampling Approximately Low-Rank Ising Models: MCMC meets Variational Methods

Feb 17, 2022
Frederic Koehler, Holden Lee, Andrej Risteski

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Variational autoencoders in the presence of low-dimensional data: landscape and implicit bias

Dec 13, 2021
Frederic Koehler, Viraj Mehta, Andrej Risteski, Chenghui Zhou

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Optimistic Rates: A Unifying Theory for Interpolation Learning and Regularization in Linear Regression

Dec 08, 2021
Lijia Zhou, Frederic Koehler, Danica J. Sutherland, Nathan Srebro

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Kalman Filtering with Adversarial Corruptions

Nov 11, 2021
Sitan Chen, Frederic Koehler, Ankur Moitra, Morris Yau

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Multidimensional Scaling: Approximation and Complexity

Sep 23, 2021
Erik Demaine, Adam Hesterberg, Frederic Koehler, Jayson Lynch, John Urschel

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