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Optimization

14,983 papers

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Papers

Automated Scalable Bayesian Inference via Hilbert Coresets JMLR 2019
Accelerated Alternating Projections for Robust Principal Component Analysis JMLR 2019
Optimal Policies for Observing Time Series and Related Restless Bandit Problems JMLR 2019
Approximation Hardness for A Class of Sparse Optimization Problems JMLR 2019
A Bootstrap Method for Error Estimation in Randomized Matrix Multiplication JMLR 2019
No-Regret Bayesian Optimization with Unknown Hyperparameters JMLR 2019
Tunability: Importance of Hyperparameters of Machine Learning Algorithms JMLR 2019
The Common-directions Method for Regularized Empirical Risk Minimization JMLR 2019
Proximal Distance Algorithms: Theory and Practice JMLR 2019
Variance-based Regularization with Convex Objectives JMLR 2019
Semi-Analytic Resampling in Lasso JMLR 2019
Lazifying Conditional Gradient Algorithms JMLR 2019
Redundancy Techniques for Straggler Mitigation in Distributed Optimization and Learning JMLR 2019
Learning to Match via Inverse Optimal Transport JMLR 2019
Differentiable Game Mechanics JMLR 2019
Streaming Principal Component Analysis From Incomplete Data JMLR 2019
Relative Error Bound Analysis for Nuclear Norm Regularized Matrix Completion JMLR 2019
Low Permutation-rank Matrices: Structural Properties and Noisy Completion JMLR 2019
Non-Convex Matrix Completion and Related Problems via Strong Duality JMLR 2019
Regularization via Mass Transportation JMLR 2019
Graph Reduction with Spectral and Cut Guarantees JMLR 2019
Approximate Profile Maximum Likelihood JMLR 2019
ADMMBO: Bayesian Optimization with Unknown Constraints using ADMM JMLR 2019
Spurious Valleys in One-hidden-layer Neural Network Optimization Landscapes JMLR 2019
Stochastic Variance-Reduced Cubic Regularization Methods JMLR 2019