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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)

Differential Geometric Regularization for Supervised Learning of Classifiers ICML 2016
A Simple and Strongly-Local Flow-Based Method for Cut Improvement ICML 2016
Nonlinear Statistical Learning with Truncated Gaussian Graphical Models ICML 2016
Barron and Cover’s Theory in Supervised Learning and its Application to Lasso ICML 2016
Persistence weighted Gaussian kernel for topological data analysis ICML 2016
Mixture Proportion Estimation via Kernel Embeddings of Distributions ICML 2016
Fast DPP Sampling for Nystrom with Application to Kernel Methods ICML 2016
How to Fake Multiply by a Gaussian Matrix ICML 2016
Pliable Rejection Sampling ICML 2016
Learning Sparse Combinatorial Representations via Two-stage Submodular Maximization ICML 2016
Isotonic Hawkes Processes ICML 2016
Cross-Graph Learning of Multi-Relational Associations ICML 2016
Beyond Parity Constraints: Fourier Analysis of Hash Functions for Inference ICML 2016
A Convex Atomic-Norm Approach to Multiple Sequence Alignment and Motif Discovery ICML 2016
Generalized Direct Change Estimation in Ising Model Structure ICML 2016
Towards Faster Rates and Oracle Property for Low-Rank Matrix Estimation ICML 2016
Principal Component Projection Without Principal Component Analysis ICML 2016
Recovery guarantee of weighted low-rank approximation via alternating minimization ICML 2016
A Box-Constrained Approach for Hard Permutation Problems ICML 2016
Scalable Discrete Sampling as a Multi-Armed Bandit Problem ICML 2016
Recycling Randomness with Structure for Sublinear time Kernel Expansions ICML 2016
Faster Convex Optimization: Simulated Annealing with an Efficient Universal Barrier ICML 2016
Preconditioning Kernel Matrices ICML 2016
Greedy Column Subset Selection: New Bounds and Distributed Algorithms ICML 2016
Pricing a Low-regret Seller ICML 2016