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Optimization

14207 directly classified papers

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Papers

Risk Aversion in Markov Decision Processes via Near Optimal Chernoff Bounds NIPS 2012
Calibrated Elastic Regularization in Matrix Completion NIPS 2012
Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation NIPS 2012
Globally Convergent Dual MAP LP Relaxation Solvers using Fenchel-Young Margins NIPS 2012
Matrix reconstruction with the local max norm NIPS 2012
Weighted Likelihood Policy Search with Model Selection NIPS 2012
Efficient and Exact MAP-MRF Inference using Branch and Bound AISTATS 2012
Bandit Theory meets Compressed Sensing for high dimensional Stochastic Linear Bandit AISTATS 2012
Fast Learning Rate of Multiple Kernel Learning: Trade-Off between Sparsity and Smoothness AISTATS 2012
Using More Data to Speed-up Training Time AISTATS 2012
Infinite-Dimensional Kalman Filtering Approach to Spatio-Temporal Gaussian Process Regression AISTATS 2012
Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks AISTATS 2012
Part & Clamp: Efficient Structured Output Learning AISTATS 2012
MAP Inference in Chains using Column Generation NIPS 2012
Exact and Stable Recovery of Sequences of Signals with Sparse Increments via Differential _1-Minimization NIPS 2012
Accuracy at the Top NIPS 2012
Approximating Equilibria in Sequential Auctions with Incomplete Information and Multi-Unit Demand NIPS 2012
Gradient-based kernel method for feature extraction and variable selection NIPS 2012
Multiresolution analysis on the symmetric group NIPS 2012
Finding Exemplars from Pairwise Dissimilarities via Simultaneous Sparse Recovery NIPS 2012
Mirror Descent Meets Fixed Share (and feels no regret) NIPS 2012
A mechanistic model of early sensory processing based on subtracting sparse representations NIPS 2012
Minimizing Sparse High-Order Energies by Submodular Vertex-Cover NIPS 2012
Local Supervised Learning through Space Partitioning NIPS 2012
Value Pursuit Iteration NIPS 2012