Holden Lee

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Princeton University

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Improved rates for identification of partially observed linear dynamical systems

Identification of a linear time-invariant dynamical system from partial ...
11/19/2020 ∙ by Holden Lee, et al. ∙ 0 ∙ share

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Efficient sampling from the Bingham distribution

We give a algorithm for exact sampling from the Bingham distribution p(x...
09/30/2020 ∙ by Rong Ge, et al. ∙ 0 ∙ share

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No-Regret Prediction in Marginally Stable Systems

We consider the problem of online prediction in a marginally stable line...
02/06/2020 ∙ by Udaya Ghai, et al. ∙ 0 ∙ share

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Estimating Normalizing Constants for Log-Concave Distributions: Algorithms and Lower Bounds

Estimating the normalizing constant of an unnormalized probability distr...
11/08/2019 ∙ by Rong Ge, et al. ∙ 0 ∙ share

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Explaining Landscape Connectivity of Low-cost Solutions for Multilayer Nets

Mode connectivity is a surprising phenomenon in the loss landscape of de...
06/14/2019 ∙ by Rohith Kuditipudi, et al. ∙ 3 ∙ share

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Robust guarantees for learning an autoregressive filter

The optimal predictor for a linear dynamical system (with hidden state a...
05/23/2019 ∙ by Holden Lee, et al. ∙ 0 ∙ share

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Online Sampling from Log-Concave Distributions

Given a sequence of convex functions f_0, f_1, ..., f_T, we study the pr...
02/21/2019 ∙ by Holden Lee, et al. ∙ 0 ∙ share

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Simulated Tempering Langevin Monte Carlo II: An Improved Proof using Soft Markov Chain Decomposition

A key task in Bayesian machine learning is sampling from distributions t...
11/29/2018 ∙ by Rong Ge, et al. ∙ 0 ∙ share

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Spectral Filtering for General Linear Dynamical Systems

We give a polynomial-time algorithm for learning latent-state linear dyn...
02/12/2018 ∙ by Elad Hazan, et al. ∙ 0 ∙ share

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Beyond Log-concavity: Provable Guarantees for Sampling Multi-modal Distributions using Simulated Tempering Langevin Monte Carlo

A key task in Bayesian statistics is sampling from distributions that ar...
10/07/2017 ∙ by Rong Ge, et al. ∙ 0 ∙ share

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