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Optimization

14,983 papers

Papers per year

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342
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Papers

Beyond Spectral Clustering - Tight Relaxations of Balanced Graph Cuts NIPS 2011
Hogwild!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent NIPS 2011
Sparse Recovery with Brownian Sensing NIPS 2011
Metric Learning with Multiple Kernels NIPS 2011
A Brain-Machine Interface Operating with a Real-Time Spiking Neural Network Control Algorithm NIPS 2011
Structure Learning for Optimization NIPS 2011
Multiclass Boosting: Theory and Algorithms NIPS 2011
Composite Multiclass Losses NIPS 2011
Scalable Training of Mixture Models via Coresets NIPS 2011
Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation NIPS 2011
Approximating Semidefinite Programs in Sublinear Time NIPS 2011
Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression NIPS 2011
A concave regularization technique for sparse mixture models NIPS 2011
Trace Lasso: a trace norm regularization for correlated designs NIPS 2011
Neural Reconstruction with Approximate Message Passing (NeuRAMP) NIPS 2011
RTRMC: A Riemannian trust-region method for low-rank matrix completion NIPS 2011
A Denoising View of Matrix Completion NIPS 2011
Budgeted Optimization with Concurrent Stochastic-Duration Experiments NIPS 2011
Learning Sparse Representations of High Dimensional Data on Large Scale Dictionaries NIPS 2011
Efficient Online Learning via Randomized Rounding NIPS 2011
Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Machine Learning NIPS 2011
Orthogonal Matching Pursuit with Replacement NIPS 2011
Divide-and-Conquer Matrix Factorization NIPS 2011
Beating SGD: Learning SVMs in Sublinear Time NIPS 2011
Adaptive Hedge NIPS 2011