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Optimization

14,969 papers

Papers per year

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342
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Papers

Random Features for Large-Scale Kernel Machines NIPS 2007
Compressed Regression NIPS 2007
Simulated Annealing: Rigorous finite-time guarantees for optimization on continuous domains NIPS 2007
Stable Dual Dynamic Programming NIPS 2007
The Tradeoffs of Large Scale Learning NIPS 2007
Ensemble Clustering using Semidefinite Programming NIPS 2007
A Constraint Generation Approach to Learning Stable Linear Dynamical Systems NIPS 2007
Convex Learning with Invariances NIPS 2007
DIFFRAC: a discriminative and flexible framework for clustering NIPS 2007
Adaptive Online Gradient Descent NIPS 2007
Bundle Methods for Machine Learning NIPS 2007
Robust Regression with Twinned Gaussian Processes NIPS 2007
New Outer Bounds on the Marginal Polytope NIPS 2007
Better than least squares: comparison of objective functions for estimating linear-nonlinear models NIPS 2007
Temporal Difference Updating without a Learning Rate NIPS 2007
Convex Clustering with Exemplar-Based Models NIPS 2007
Convex Relaxations of Latent Variable Training NIPS 2007
Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis NIPS 2007
Ultrafast Monte Carlo for Statistical Summations NIPS 2007
Multi-Task Learning via Conic Programming NIPS 2007
Incremental Natural Actor-Critic Algorithms NIPS 2007
A Unified Near-Optimal Estimator For Dimension Reduction in $l_\alpha$ ($0<\alpha\leq 2$) Using Stable Random Projections NIPS 2007
Computing Robust Counter-Strategies NIPS 2007
Random Sampling of States in Dynamic Programming NIPS 2007
Local Algorithms for Approximate Inference in Minor-Excluded Graphs NIPS 2007