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Augmented Lagrangian Methods for Provable and Scalable Machine Learning

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Augmented Lagrangian Methods for Provable and Scalable Machine Learning

Graph Chatbot

Chattez avec Graph Search

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Use of Convex Model Approximations for Real-Time Optimization via Modifier Adaptation

Sufficient Conditions for Feasibility and Optimality of Real-Time Optimization Schemes - I. Theoretical Foundations

Blind Sensor Calibration in Sparse Recovery

Shaped Beam Synthesis of Arrays via Sequential Convex Optimizations

Sparse projections onto the simplex

Joint image registration and reconstruction from compressed multi-view measurements

Joint image registration and reconstruction from compressed multi-view measurements

Learning for Structured Prediction Using Approximate Subgradient Descent with Working Sets

Adaptive stochastic convex optimization over networks

Fast Dual Variational Inference for Non-Conjugate Latent Gaussian Models