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Optimization

14,969 papers

Papers per year

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Papers

Inferring rankings under constrained sensing NIPS 2008
Estimating vector fields using sparse basis field expansions NIPS 2008
Spectral Clustering with Perturbed Data NIPS 2008
Multi-stage Convex Relaxation for Learning with Sparse Regularization NIPS 2008
Supervised Exponential Family Principal Component Analysis via Convex Optimization NIPS 2008
Robust Regression and Lasso NIPS 2008
Sparse Signal Recovery Using Markov Random Fields NIPS 2008
Clustering via LP-based Stabilities NIPS 2008
Fast Computation of Posterior Mode in Multi-Level Hierarchical Models NIPS 2008
QUIC-SVD: Fast SVD Using Cosine Trees NIPS 2008
A Massively Parallel Digital Learning Processor NIPS 2008
An Homotopy Algorithm for the Lasso with Online Observations NIPS 2008
Fast High-dimensional Kernel Summations Using the Monte Carlo Multipole Method NIPS 2008
MAS: a multiplicative approximation scheme for probabilistic inference NIPS 2008
An Online Algorithm for Maximizing Submodular Functions NIPS 2008
PSDBoost: Matrix-Generation Linear Programming for Positive Semidefinite Matrices Learning NIPS 2008
Bounding Performance Loss in Approximate MDP Homomorphisms NIPS 2008
Fast Prediction on a Tree NIPS 2008
Exact Convex Confidence-Weighted Learning NIPS 2008
Tighter Bounds for Structured Estimation NIPS 2008
Nonparametric regression and classification with joint sparsity constraints NIPS 2008
High-dimensional support union recovery in multivariate regression NIPS 2008
A Convex Upper Bound on the Log-Partition Function for Binary Distributions NIPS 2008
Adaptive Forward-Backward Greedy Algorithm for Sparse Learning with Linear Models NIPS 2008
Adapting to a Market Shock: Optimal Sequential Market-Making NIPS 2008