Jonathan Kelner
9 papers · 2020–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(26)
Venues
Top co-authors
Research topics
Machine Learning
(9)
Optimization & Theory · Machine Learning
(8)
Mathematics & Optimization
(6)
Core Methods
(6)
Mathematics
(4)
Optimization
(4)
Artificial Intelligence
(2)
Deep Learning
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Learning Types
(2)
Computer Science
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Foundations
(1)
Models
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
sparse linear regression
(4)
gaussian graphical model
(2)
condition number
(2)
neural tangent kernel
(1)
feature extraction
(1)
sample complexity
(1)
convex optimization
(1)
markov chain monte carlo
(1)
covariance matrix
(1)
precision matrix
(1)
sparse structure learning
(1)
restricted isometry property
(1)
hamiltonian monte carlo
(1)
graphical lasso
(1)
sublinear time
(1)
high-dimensional statistics
(1)
riemannian manifold
(1)
stochastic gradient descent
(1)
mixing time
(1)
compressed sensing
(1)
Papers
Learning Mixtures of Gaussians Using Diffusion Models
COLT 2025
Lasso with Latents: Efficient Estimation, Covariate Rescaling, and Computational-Statistical Gaps
COLT 2024
Sampling Polytopes with Riemannian HMC: Faster Mixing via the Lewis Weights Barrier
COLT 2024
Feature Adaptation for Sparse Linear Regression
NeurIPS 2023
Semi-Random Sparse Recovery in Nearly-Linear Time
COLT 2023
Big-Step-Little-Step: Efficient Gradient Methods for Objectives with Multiple Scales
COLT 2022
Lower Bounds on Randomly Preconditioned Lasso via Robust Sparse Designs
NeurIPS 2022
Optimization and Adaptive Generalization of Three layer Neural Networks
ICLR 2022
Learning Some Popular Gaussian Graphical Models without Condition Number Bounds
NeurIPS 2020