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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)

Graphical Models for Non-Negative Data Using Generalized Score Matching AISTATS 2018
Asynchronous Doubly Stochastic Group Regularized Learning AISTATS 2018
Inference in Sparse Graphs with Pairwise Measurements and Side Information AISTATS 2018
The Power Mean Laplacian for Multilayer Graph Clustering AISTATS 2018
Adaptive Sampling for Coarse Ranking AISTATS 2018
The Binary Space Partitioning-Tree Process AISTATS 2018
On denoising modulo 1 samples of a function AISTATS 2018
Scalable Hash-Based Estimation of Divergence Measures AISTATS 2018
Conditional Gradient Method for Stochastic Submodular Maximization: Closing the Gap AISTATS 2018
Online Continuous Submodular Maximization AISTATS 2018
The emergence of spectral universality in deep networks AISTATS 2018
Spectral Algorithms for Computing Fair Support Vector Machines AISTATS 2018
Labeled Graph Clustering via Projected Gradient Descent AISTATS 2018
HONES: A Fast and Tuning-free Homotopy Method For Online Newton Step AISTATS 2018
Probability–Revealing Samples AISTATS 2018
Derivative Free Optimization Via Repeated Classification AISTATS 2018
Online Ensemble Multi-kernel Learning Adaptive to Non-stationary and Adversarial Environments AISTATS 2018
A Unified Dynamic Approach to Sparse Model Selection AISTATS 2018
Pure Exploration in Infinitely-Armed Bandit Models with Fixed-Confidence ALT 2018
Learners that Use Little Information ALT 2018
{Multi-Player Bandits Revisited} ALT 2018
Adaptive Group Testing Algorithms to Estimate the Number of Defectives ALT 2018
Sparsity, variance and curvature in multi-armed bandits ALT 2018
Bandit Regret Scaling with the Effective Loss Range ALT 2018
Structure Learning of ${H}$-colorings ALT 2018