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Optimization

14,983 papers

Papers per year

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Papers

Reconciling "priors" & "priors" without prejudice? NIPS 2013
Trading Computation for Communication: Distributed Stochastic Dual Coordinate Ascent NIPS 2013
Projected Natural Actor-Critic NIPS 2013
Minimax Optimal Algorithms for Unconstrained Linear Optimization NIPS 2013
Regret based Robust Solutions for Uncertain Markov Decision Processes NIPS 2013
Speedup Matrix Completion with Side Information: Application to Multi-Label Learning NIPS 2013
A Stability-based Validation Procedure for Differentially Private Machine Learning NIPS 2013
Actor-Critic Algorithms for Risk-Sensitive MDPs NIPS 2013
Learning Adaptive Value of Information for Structured Prediction NIPS 2013
Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima NIPS 2013
Robust Data-Driven Dynamic Programming NIPS 2013
Optimization, Learning, and Games with Predictable Sequences NIPS 2013
Multi-Task Bayesian Optimization NIPS 2013
Adaptive Submodular Maximization in Bandit Setting NIPS 2013
Adaptive Step-Size for Policy Gradient Methods NIPS 2013
Mixed Optimization for Smooth Functions NIPS 2013
Blind Calibration in Compressed Sensing using Message Passing Algorithms NIPS 2013
Linear Approximation to ADMM for MAP inference ACML 2013
Accelerated Coordinate Descent with Adaptive Coordinate Frequencies ACML 2013
Predictive Simulation Framework of Stochastic Diffusion Model for Identifying Top-K Influential Nodes ACML 2013
Q-learning for history-based reinforcement learning ACML 2013
Second Order Online Collaborative Filtering ACML 2013
Active Sampling of Pairs and Points for Large-scale Linear Bipartite Ranking ACML 2013
Locally-Linear Learning Machines (L3M) ACML 2013
Distributed Learning of Gaussian Graphical Models via Marginal Likelihoods AISTATS 2013