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Mathematics & Optimization

16,944 papers (0 classified directly here)

Subtopics

Optimization (12,959) Mathematics (5,735) Probability (519) Statistics (265) Discrete Mathematics (15)

Papers per year

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Papers (including subtopics)

Square Deal: Lower Bounds and Improved Relaxations for Tensor Recovery ICML 2014
Near-Optimal Joint Object Matching via Convex Relaxation ICML 2014
Convex Total Least Squares ICML 2014
On p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection ICML 2014
Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization ICML 2014
On the convergence of no-regret learning in selfish routing ICML 2014
Scaling Up Robust MDPs using Function Approximation ICML 2014
Linear and Parallel Learning of Markov Random Fields ICML 2014
Gaussian Process Optimization with Mutual Information ICML 2014
Signal recovery from Pooling Representations ICML 2014
Rectangular Tiling Process ICML 2014
Elementary Estimators for High-Dimensional Linear Regression ICML 2014
Elementary Estimators for Sparse Covariance Matrices and other Structured Moments ICML 2014
Sparse Reinforcement Learning via Convex Optimization ICML 2014
An Analysis of State-Relevance Weights and Sampling Distributions on L1-Regularized Approximate Linear Programming Approximation Accuracy ICML 2014
Optimization Equivalence of Divergences Improves Neighbor Embedding ICML 2014
An Asynchronous Parallel Stochastic Coordinate Descent Algorithm ICML 2014
Globally Convergent Parallel MAP LP Relaxation Solver using the Frank-Wolfe Algorithm ICML 2014
Linear Programming for Large-Scale Markov Decision Problems ICML 2014
Linear Time Solver for Primal SVM ICML 2014
Memory (and Time) Efficient Sequential Monte Carlo ICML 2014
Fast large-scale optimization by unifying stochastic gradient and quasi-Newton methods ICML 2014
Nonparametric Estimation of Multi-View Latent Variable Models ICML 2014
Statistical analysis of stochastic gradient methods for generalized linear models ICML 2014
Coding for Random Projections ICML 2014