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Optimization

14,983 papers

Papers per year

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342
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Papers

Optimizing Instructional Policies NIPS 2013
Online PCA for Contaminated Data NIPS 2013
Learning Multiple Models via Regularized Weighting NIPS 2013
Machine Teaching for Bayesian Learners in the Exponential Family NIPS 2013
From Bandits to Experts: A Tale of Domination and Independence NIPS 2013
Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints NIPS 2013
Scalable kernels for graphs with continuous attributes NIPS 2013
Bayesian optimization explains human active search NIPS 2013
Convex Calibrated Surrogates for Low-Rank Loss Matrices with Applications to Subset Ranking Losses NIPS 2013
Convex Two-Layer Modeling NIPS 2013
Sparse Inverse Covariance Estimation with Calibration NIPS 2013
Accelerating Stochastic Gradient Descent using Predictive Variance Reduction NIPS 2013
Sinkhorn Distances: Lightspeed Computation of Optimal Transport NIPS 2013
EDML for Learning Parameters in Directed and Undirected Graphical Models NIPS 2013
Designed Measurements for Vector Count Data NIPS 2013
Learning Chordal Markov Networks by Constraint Satisfaction NIPS 2013
Curvature and Optimal Algorithms for Learning and Minimizing Submodular Functions NIPS 2013
A New Convex Relaxation for Tensor Completion NIPS 2013
(Nearly) Optimal Algorithms for Private Online Learning in Full-information and Bandit Settings NIPS 2013
The Fast Convergence of Incremental PCA NIPS 2013
Learning Hidden Markov Models from Non-sequence Data via Tensor Decomposition NIPS 2013
Recurrent networks of coupled Winner-Take-All oscillators for solving constraint satisfaction problems NIPS 2013
When in Doubt, SWAP: High-Dimensional Sparse Recovery from Correlated Measurements NIPS 2013
Robust Transfer Principal Component Analysis with Rank Constraints NIPS 2013
Structured Learning via Logistic Regression NIPS 2013