Mangoubi, Oren

14 publications

ICML 2025 Efficient Diffusion Models for Symmetric Manifolds Oren Mangoubi, Neil He, Nisheeth K. Vishnoi

ICLR 2025 Singular Subspace Perturbation Bounds via Rectangular Random Matrix Diffusions Peiyao Lai, Oren Mangoubi

ICLR 2024 Faster Sampling from Log-Concave Densities over Polytopes via Efficient Linear Solvers Oren Mangoubi, Nisheeth K. Vishnoi

COLT 2023 Private Covariance Approximation and Eigenvalue-Gap Bounds for Complex Gaussian Perturbations Oren Mangoubi, Nisheeth K. Vishnoi

NeurIPS 2023 Sampling from Structured Log-Concave Distributions via a Soft-Threshold Dikin Walk Oren Mangoubi, Nisheeth K. Vishnoi

ICML 2022 A Convergent and Dimension-Independent Min-Max Optimization Algorithm Vijay Keswani, Oren Mangoubi, Sushant Sachdeva, Nisheeth K. Vishnoi

COLT 2022 Private Matrix Approximation and Geometry of Unitary Orbits Oren Mangoubi, Yikai Wu, Satyen Kale, Abhradeep Thakurta, Nisheeth K. Vishnoi

NeurIPS 2022 Re-Analyze Gauss: Bounds for Private Matrix Approximation via Dyson Brownian Motion Oren Mangoubi, Nisheeth Vishnoi

NeurIPS 2022 Sampling from Log-Concave Distributions with Infinity-Distance Guarantees Oren Mangoubi, Nisheeth Vishnoi

AISTATS 2019 Mixing of Hamiltonian Monte Carlo on Strongly Log-Concave Distributions 2: Numerical Integrators Oren Mangoubi, Aaron Smith

COLT 2019 Nonconvex Sampling with the Metropolis-Adjusted Langevin Algorithm Oren Mangoubi, Nisheeth K Vishnoi

NeurIPS 2019 Online Sampling from Log-Concave Distributions Holden Lee, Oren Mangoubi, Nisheeth Vishnoi

COLT 2018 Convex Optimization with Unbounded Nonconvex Oracles Using Simulated Annealing Oren Mangoubi, Nisheeth K. Vishnoi

NeurIPS 2018 Dimensionally Tight Bounds for Second-Order Hamiltonian Monte Carlo Oren Mangoubi, Nisheeth Vishnoi