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Optimization

14207 directly classified papers

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Papers

Multi-period Trading Prediction Markets with Connections to Machine Learning ICML 2014
Coding for Random Projections ICML 2014
An Adaptive Accelerated Proximal Gradient Method and its Homotopy Continuation for Sparse Optimization ICML 2014
Multi-Objective Reinforcement Learning using Sets of Pareto Dominating Policies JMLR 2014
ooDACE Toolbox: A Flexible Object-Oriented Kriging Implementation JMLR 2014
Policy Evaluation with Temporal Differences: A Survey and Comparison JMLR 2014
Parallelizing Exploration-Exploitation Tradeoffs in Gaussian Process Bandit Optimization JMLR 2014
Beyond the Regret Minimization Barrier: Optimal Algorithms for Stochastic Strongly-Convex Optimization JMLR 2014
A Reliable Effective Terascale Linear Learning System JMLR 2014
Fast Stochastic Alternating Direction Method of Multipliers ICML 2014
Near-Optimal Herding COLT 2014
Online Linear Optimization via Smoothing COLT 2014
Robust and Efficient Kernel Hyperparameter Paths with Guarantees ICML 2014
Online Passive-Aggressive Algorithms for Non-Negative Matrix Factorization and Completion AISTATS 2014
Nonnegative Sparse PCA with Provable Guarantees ICML 2014
Matrix Completion with the Trace Norm: Learning, Bounding, and Transducing JMLR 2014
Prediction and Clustering in Signed Networks: A Local to Global Perspective JMLR 2014
Robust Distance Metric Learning via Simultaneous L1-Norm Minimization and Maximization ICML 2014
Low-density Parity Constraints for Hashing-Based Discrete Integration ICML 2014
Distributed optimization of deeply nested systems AISTATS 2014
Learning Structured Models with the AUC Loss and Its Generalizations AISTATS 2014
Wasserstein Propagation for Semi-Supervised Learning ICML 2014
Efficient Lifting of MAP LP Relaxations Using k-Locality AISTATS 2014
A Geometric Algorithm for Scalable Multiple Kernel Learning AISTATS 2014
Efficient Transfer Learning Method for Automatic Hyperparameter Tuning AISTATS 2014