Jonathan Kelner
9 papers · 2020–2025 · 3 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (15) π Academic Marathon (5) π Interdisciplinary Bridge π Conference Polyglot (3) π Cross-Pollinator (15)
π§
Keyword Pioneer
π
Keyword Champion
(4)
Conferences
COLT (5)
NIPS (3)
ICLR (1)
Top co-authors
Keywords
sparse linear regression
(4)
condition number
(2)
gaussian graphical model
(2)
high-dimensional statistics
(1)
markov chain monte carlo
(1)
covariance matrix
(1)
precision matrix
(1)
sparse structure learning
(1)
restricted isometry property
(1)
graphical lasso
(1)
sublinear time
(1)
riemannian manifold
(1)
mixing time
(1)
computational-statistical gaps
(1)
generative model
(1)
latent variable
(1)
lower bound
(1)
hamiltonian dynamics
(1)
graph structure recovery
(1)
accelerated gradient method
(1)
Papers
Learning Mixtures of Gaussians Using Diffusion Models
COLT 2025
Sampling Polytopes with Riemannian HMC: Faster Mixing via the Lewis Weights Barrier
COLT 2024
Lasso with Latents: Efficient Estimation, Covariate Rescaling, and Computational-Statistical Gaps
COLT 2024
Feature Adaptation for Sparse Linear Regression
NIPS 2023
Semi-Random Sparse Recovery in Nearly-Linear Time
COLT 2023
Optimization and Adaptive Generalization of Three layer Neural Networks
ICLR 2022
Lower Bounds on Randomly Preconditioned Lasso via Robust Sparse Designs
NIPS 2022
Big-Step-Little-Step: Efficient Gradient Methods for Objectives with Multiple Scales
COLT 2022
Learning Some Popular Gaussian Graphical Models without Condition Number Bounds
NIPS 2020