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Optimization

14,207 papers

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Papers

Learning Infinite RBMs with Frank-Wolfe NIPS 2016
Faster Projection-free Convex Optimization over the Spectrahedron NIPS 2016
Unsupervised Learning from Noisy Networks with Applications to Hi-C Data NIPS 2016
Efficient Neural Codes under Metabolic Constraints NIPS 2016
Exact Recovery of Hard Thresholding Pursuit NIPS 2016
A Multi-step Inertial Forward-Backward Splitting Method for Non-convex Optimization NIPS 2016
Optimal Binary Classifier Aggregation for General Losses NIPS 2016
Adaptive Neural Compilation NIPS 2016
High resolution neural connectivity from incomplete tracing data using nonnegative spline regression NIPS 2016
Agnostic Estimation for Misspecified Phase Retrieval Models NIPS 2016
Learning to learn by gradient descent by gradient descent NIPS 2016
Fast Active Set Methods for Online Spike Inference from Calcium Imaging NIPS 2016
Optimal Learning for Multi-pass Stochastic Gradient Methods NIPS 2016
Minimizing Quadratic Functions in Constant Time NIPS 2016
A Strategy for Ranking Optimization Methods using Multiple Criteria AUTOML 2016
A Brief Review of the ChaLearn AutoML Challenge: Any-time Any-dataset Learning Without Human Intervention AUTOML 2016
Bayesian optimization for automated model selection AUTOML 2016
Adapting Multicomponent Predictive Systems using Hybrid Adaptation Strategies with Auto-WEKA in Process Industry AUTOML 2016
TPOT: A Tree-based Pipeline Optimization Tool for Automating Machine Learning AUTOML 2016
Parameter-Free Convex Learning through Coin Betting AUTOML 2016
Multiple Kernel Learning with Data Augmentation ACML 2016
Linearized Alternating Direction Method of Multipliers for Constrained Nonconvex Regularized Optimization ACML 2016
Proper Inner Product with Mean Displacement for Gaussian Noise Invariant ICA ACML 2016
Strong Coresets for Hard and Soft Bregman Clustering with Applications to Exponential Family Mixtures AISTATS 2016
Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics AISTATS 2016