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Optimization

14207 directly classified papers

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Papers

large scale canonical correlation analysis with iterative least squares NIPS 2014
Large-Margin Convex Polytope Machine NIPS 2014
Sparse Space-Time Deconvolution for Calcium Image Analysis NIPS 2014
Linear Time Solver for Primal SVM ICML 2014
Algorithms for CVaR Optimization in MDPs NIPS 2014
Efficient Inference for Complex Queries on Complex Distributions AISTATS 2014
QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models NIPS 2014
Tighten after Relax: Minimax-Optimal Sparse PCA in Polynomial Time NIPS 2014
The Noisy Power Method: A Meta Algorithm with Applications NIPS 2014
Bandit Convex Optimization: Towards Tight Bounds NIPS 2014
Non-convex Robust PCA NIPS 2014
Tight convex relaxations for sparse matrix factorization NIPS 2014
Finding a sparse vector in a subspace: Linear sparsity using alternating directions NIPS 2014
Augmentative Message Passing for Traveling Salesman Problem and Graph Partitioning NIPS 2014
Communication-Efficient Distributed Dual Coordinate Ascent NIPS 2014
A provable SVD-based algorithm for learning topics in dominant admixture corpus NIPS 2014
Sparse Random Feature Algorithm as Coordinate Descent in Hilbert Space NIPS 2014
Scalable Non-linear Learning with Adaptive Polynomial Expansions NIPS 2014
Robust Logistic Regression and Classification NIPS 2014
Exclusive Feature Learning on Arbitrary Structures via $\ell_{1,2}$-norm NIPS 2014
Time--Data Tradeoffs by Aggressive Smoothing NIPS 2014
Learning to Search in Branch and Bound Algorithms NIPS 2014
Fairness in Multi-Agent Sequential Decision-Making NIPS 2014
Learning to Discover Efficient Mathematical Identities NIPS 2014
Fast Multivariate Spatio-temporal Analysis via Low Rank Tensor Learning NIPS 2014