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Optimization

14,983 papers

Papers per year

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Papers

Collaborative hyperparameter tuning ICML 2013
SADA: A General Framework to Support Robust Causation Discovery ICML 2013
Sparse projections onto the simplex ICML 2013
A proximal Newton framework for composite minimization: Graph learning without Cholesky decompositions and matrix inversions ICML 2013
A Practical Algorithm for Topic Modeling with Provable Guarantees ICML 2013
Distributed training of Large-scale Logistic models ICML 2013
Margins, Shrinkage, and Boosting ICML 2013
Hierarchical Regularization Cascade for Joint Learning ICML 2013
Optimistic Knowledge Gradient Policy for Optimal Budget Allocation in Crowdsourcing ICML 2013
MILEAGE: Multiple Instance LEArning with Global Embedding ICML 2013
Guaranteed Sparse Recovery under Linear Transformation ICML 2013
Efficient Ranking from Pairwise Comparisons ICML 2013
One-Bit Compressed Sensing: Provable Support and Vector Recovery ICML 2013
A Fast and Exact Energy Minimization Algorithm for Cycle MRFs ICML 2013
An Efficient Posterior Regularized Latent Variable Model for Interactive Sound Source Separation ICML 2013
Estimating Unknown Sparsity in Compressed Sensing ICML 2013
Fastfood - Computing Hilbert Space Expansions in loglinear time ICML 2013
Unfolding Latent Tree Structures using 4th Order Tensors ICML 2013
Planning by Prioritized Sweeping with Small Backups ICML 2013
Learning Heteroscedastic Models by Convex Programming under Group Sparsity ICML 2013
Spectral Compressed Sensing via Structured Matrix Completion ICML 2013
That was fast! Speeding up NN search of high dimensional distributions. ICML 2013
Riemannian Similarity Learning ICML 2013
Revisiting the Nystrom method for improved large-scale machine learning ICML 2013
Quickly Boosting Decision Trees – Pruning Underachieving Features Early ICML 2013