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Optimization

14,983 papers

Papers per year

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Papers

Hierarchical Optimistic Region Selection driven by Curiosity NIPS 2012
On the Use of Non-Stationary Policies for Stationary Infinite-Horizon Markov Decision Processes NIPS 2012
Isotropic Hashing 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 Stochastic Gradient Method with an Exponential Convergence _Rate for Finite Training Sets 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
Sparse Prediction with the $k$-Support Norm NIPS 2012
Minimizing Uncertainty in Pipelines NIPS 2012
Efficient Spike-Coding with Multiplicative Adaptation in a Spike Response Model NIPS 2012
Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach NIPS 2012
Tensor Decomposition for Fast Parsing with Latent-Variable PCFGs NIPS 2012
Local Supervised Learning through Space Partitioning NIPS 2012
Value Pursuit Iteration NIPS 2012
A Polynomial-time Form of Robust Regression NIPS 2012
Smooth-projected Neighborhood Pursuit for High-dimensional Nonparanormal Graph Estimation NIPS 2012
Newton-Like Methods for Sparse Inverse Covariance Estimation NIPS 2012
Active Learning of Multi-Index Function Models NIPS 2012
Convergence Rate Analysis of MAP Coordinate Minimization Algorithms NIPS 2012
Approximating Concavely Parameterized Optimization Problems NIPS 2012
Stochastic Gradient Descent with Only One Projection NIPS 2012
Tractable Objectives for Robust Policy Optimization NIPS 2012
Robustness and risk-sensitivity in Markov decision processes NIPS 2012
Communication/Computation Tradeoffs in Consensus-Based Distributed Optimization NIPS 2012