Andres Gomez

5 papers · 2020–2025 · 4 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12)

Venues

JMLR (2) AISTATS (1) ICML (1) NeurIPS (1)

Top co-authors

Alper Atamturk (3) Phebe Vayanos (1) Nathan Justin (1) Shaoning Han (1) Qingshi Sun (1) Salar Fattahi (1)

Research topics

Machine Learning (5) Mathematics & Optimization (4) Core Methods (4) Optimization (3) Optimization & Theory (2) Artificial Intelligence (1) Bayesian & Probabilistic (1) Learning Types (1) Mathematics (1)

Keywords

feature selection (2) convex relaxation (2) convex optimization (2) l0 regularization (2) sparse representation (1) sparse estimation (1) constrained optimization (1) high-dimensional estimation (1) sparse regression (1) distribution shift (1) sparse optimization (1) time-varying graphical models (1) quadratic programming (1) signal estimation (1) gaussian markov random field (1) distributionally robust optimization (1) quadratic optimization (1) calibration error (1) semidefinite optimization (1) iterative convexification (1)

Papers

Mixed-Feature Logistic Regression Robust to Distribution Shifts AISTATS 2025 Rank-one Convexification for Sparse Regression JMLR 2025 Scalable Inference of Sparsely-changing Gaussian Markov Random Fields NeurIPS 2021 Sparse and Smooth Signal Estimation: Convexification of L0-Formulations JMLR 2021 Safe screening rules for L0-regression from Perspective Relaxations ICML 2020