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Optimization

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Guaranteed Sparse Recovery under Linear Transformation ICML 2013
Linear Approximation to ADMM for MAP inference ACML 2013
Accelerated Coordinate Descent with Adaptive Coordinate Frequencies ACML 2013
Second Order Online Collaborative Filtering ACML 2013
Active Sampling of Pairs and Points for Large-scale Linear Bipartite Ranking ACML 2013
Locally-Linear Learning Machines (L3M) ACML 2013
Hierarchical Regularization Cascade for Joint Learning ICML 2013
A proximal Newton framework for composite minimization: Graph learning without Cholesky decompositions and matrix inversions ICML 2013
Subproblem-Tree Calibration: A Unified Approach to Max-Product Message Passing ICML 2013
Dynamical Models and tracking regret in online convex programming ICML 2013
Adaptive Task Assignment for Crowdsourced Classification ICML 2013
Convex Relaxations for Learning Bounded-Treewidth Decomposable Graphs ICML 2013
Revisiting Frank-Wolfe: Projection-Free Sparse Convex Optimization ICML 2013
Dual Averaging and Proximal Gradient Descent for Online Alternating Direction Multiplier Method ICML 2013
Noisy and Missing Data Regression: Distribution-Oblivious Support Recovery ICML 2013
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes ICML 2013
Fast Probabilistic Optimization from Noisy Gradients ICML 2013
Block-Coordinate Frank-Wolfe Optimization for Structural SVMs ICML 2013
A Tale of Two Metrics: Simultaneous Bounds on Competitiveness and Regret COLT 2013
Recovering the Optimal Solution by Dual Random Projection COLT 2013
On the Complexity of Bandit and Derivative-Free Stochastic Convex Optimization COLT 2013
Recurrent networks of coupled Winner-Take-All oscillators for solving constraint satisfaction problems NIPS 2013
EDML for Learning Parameters in Directed and Undirected Graphical Models NIPS 2013
Accelerating Stochastic Gradient Descent using Predictive Variance Reduction NIPS 2013
Bayesian optimization explains human active search NIPS 2013