Ali Jalali

5 papers · 2010–2014 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (24) 🐣 Hot Topic Early Bird 📈 Trend Setter

Venues

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

Top co-authors

Sujay Sanghavi (3) Pradeep Ravikumar (2) Pradeep K Ravikumar (2) Pradeep K. Ravikumar (2) Christopher Johnson (1) Christopher C. Johnson (1) Vishvas Vasuki (1) Yudong Chen (1) Huan Xu (1) Chao Ruan (1)

Research topics

Machine Learning (5) Core Methods (5) Mathematics & Optimization (4) Optimization (4) Optimization & Theory · Machine Learning (4) Learning Types (2) Artificial Intelligence (1) Deep Learning (1) Application Areas (1) Learning Paradigms (1) Mathematics (1) Optimization & Theory · Deep Learning (1)

Keywords

high-dimensional statistics (3) graphical model (3) structure learning (3) convex optimization (1) logistic regression (1) sparse learning (1) graph clustering (1) parameter estimation (1) sample complexity (1) block regularization (1) high-dimensional regression (1) support recovery (1) linear regression (1) sparse inverse covariance (1) sparse optimization (1) feature sharing (1) low-rank matrix (1) parameter regularization (1) group sparse regularization (1) greedy structure learning (1)

Papers

Clustering Partially Observed Graphs via Convex Optimization JMLR 2014 High-dimensional Sparse Inverse Covariance Estimation using Greedy Methods AISTATS 2012 On Learning Discrete Graphical Models using Greedy Methods NeurIPS 2011 On Learning Discrete Graphical Models using Group-Sparse Regularization AISTATS 2011 A Dirty Model for Multi-task Learning NeurIPS 2010