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Optimization

14,207 papers

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Papers

Reward Augmented Maximum Likelihood for Neural Structured Prediction NIPS 2016
Combinatorial Energy Learning for Image Segmentation NIPS 2016
Bayesian Optimization for Probabilistic Programs NIPS 2016
CNNpack: Packing Convolutional Neural Networks in the Frequency Domain NIPS 2016
Provable Efficient Online Matrix Completion via Non-convex Stochastic Gradient Descent NIPS 2016
Bayesian optimization for automated model selection NIPS 2016
Designing smoothing functions for improved worst-case competitive ratio in online optimization NIPS 2016
The non-convex Burer-Monteiro approach works on smooth semidefinite programs NIPS 2016
Minimizing Regret on Reflexive Banach Spaces and Nash Equilibria in Continuous Zero-Sum Games NIPS 2016
Efficient Globally Convergent Stochastic Optimization for Canonical Correlation Analysis NIPS 2016
Asynchronous Parallel Greedy Coordinate Descent NIPS 2016
Catching heuristics are optimal control policies NIPS 2016
Stochastic Gradient Methods for Distributionally Robust Optimization with f-divergences NIPS 2016
Assortment Optimization Under the Mallows model NIPS 2016
NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization NIPS 2016
Exploiting the Structure: Stochastic Gradient Methods Using Raw Clusters NIPS 2016
A Simple Practical Accelerated Method for Finite Sums NIPS 2016
Convex Two-Layer Modeling with Latent Structure NIPS 2016
GAP Safe Screening Rules for Sparse-Group Lasso NIPS 2016
Sub-sampled Newton Methods with Non-uniform Sampling NIPS 2016
Exploiting Tradeoffs for Exact Recovery in Heterogeneous Stochastic Block Models NIPS 2016
Solving Random Systems of Quadratic Equations via Truncated Generalized Gradient Flow NIPS 2016
Stochastic Three-Composite Convex Minimization NIPS 2016
Bayesian Optimization with a Finite Budget: An Approximate Dynamic Programming Approach NIPS 2016
Learning Parametric Sparse Models for Image Super-Resolution NIPS 2016