Oren Mangoubi
14 papers · 2018–2025 · 5 venues · across top CS/AI venues
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Achievements
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π Academic Marathon Β· Sprint π£ Hot Topic Early Bird π Interdisciplinary Bridge Β· Gold π Conference Polyglot Β· Silver πΊοΈ Taxonomy Completionist (22)
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Keyword Champion
(3)
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Trend Setter
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Century Club Β· Bronze
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(62)
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Research topics
Machine Learning
(12)
Mathematics & Optimization
(12)
Optimization & Theory
(12)
Mathematics
(5)
Optimization
(5)
Security & Privacy
(4)
Bayesian & Probabilistic Β· Machine Learning
(4)
Differential Privacy
(4)
Application Areas
(3)
Probability
(3)
Deep Learning
(2)
Learning Types
(2)
Artificial Intelligence
(1)
Computer Science
(1)
Bayesian & Probabilistic Β· Artificial Intelligence
(1)
Keywords
markov chain monte carlo
(6)
differential privacy
(5)
markov chain
(3)
bayesian logistic regression
(3)
log-concave distribution
(3)
gaussian mechanism
(3)
matrix approximation
(2)
bayesian inference
(2)
sampling algorithm
(2)
hamiltonian monte carlo
(2)
stochastic gradient langevin dynamics
(2)
random matrix
(2)
strong convexity
(1)
high-dimensional statistics
(1)
variance reduction
(1)
convex optimization
(1)
gradient descent
(1)
mixing time
(1)
simulated annealing
(1)
principal component analysis
(1)
Papers
Efficient Diffusion Models for Symmetric Manifolds
ICML 2025
Singular Subspace Perturbation Bounds via Rectangular Random Matrix Diffusions
ICLR 2025
Faster Sampling from Log-Concave Densities over Polytopes via Efficient Linear Solvers
ICLR 2024
Private Covariance Approximation and Eigenvalue-Gap Bounds for Complex Gaussian Perturbations
COLT 2023
Sampling from Structured Log-Concave Distributions via a Soft-Threshold Dikin Walk
NeurIPS 2023
A Convergent and Dimension-Independent Min-Max Optimization Algorithm
ICML 2022
Private Matrix Approximation and Geometry of Unitary Orbits
COLT 2022
Re-Analyze Gauss: Bounds for Private Matrix Approximation via Dyson Brownian Motion
NeurIPS 2022
Sampling from Log-Concave Distributions with Infinity-Distance Guarantees
NeurIPS 2022
Mixing of Hamiltonian Monte Carlo on strongly log-concave distributions 2: Numerical integrators
AISTATS 2019
Nonconvex sampling with the Metropolis-adjusted Langevin algorithm
COLT 2019
Online sampling from log-concave distributions
NeurIPS 2019
Convex Optimization with Unbounded Nonconvex Oracles using Simulated Annealing
COLT 2018
Dimensionally Tight Bounds for Second-Order Hamiltonian Monte Carlo
NeurIPS 2018