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Optimization

14,983 papers

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Papers

Barzilai-Borwein Step Size for Stochastic Gradient Descent NIPS 2016
The Power of Optimization from Samples NIPS 2016
Optimal Tagging with Markov Chain Optimization NIPS 2016
A scaled Bregman theorem with applications NIPS 2016
Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation NIPS 2016
Quantum Perceptron Models NIPS 2016
Efficient High-Order Interaction-Aware Feature Selection Based on Conditional Mutual Information NIPS 2016
Linear-Memory and Decomposition-Invariant Linearly Convergent Conditional Gradient Algorithm for Structured Polytopes NIPS 2016
A Comprehensive Linear Speedup Analysis for Asynchronous Stochastic Parallel Optimization from Zeroth-Order to First-Order NIPS 2016
Noise-Tolerant Life-Long Matrix Completion via Adaptive Sampling NIPS 2016
Satisfying Real-world Goals with Dataset Constraints NIPS 2016
Launch and Iterate: Reducing Prediction Churn NIPS 2016
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