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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)

Beta calibration: a well-founded and easily implemented improvement on logistic calibration for binary classifiers AISTATS 2017
Learning Nonparametric Forest Graphical Models with Prior Information AISTATS 2017
Adaptive ADMM with Spectral Penalty Parameter Selection AISTATS 2017
Robust and Efficient Computation of Eigenvectors in a Generalized Spectral Method for Constrained Clustering AISTATS 2017
Regression Uncertainty on the Grassmannian AISTATS 2017
Unsupervised Sequential Sensor Acquisition AISTATS 2017
CPSG-MCMC: Clustering-Based Preprocessing method for Stochastic Gradient MCMC AISTATS 2017
A Unified Optimization View on Generalized Matching Pursuit and Frank-Wolfe AISTATS 2017
Faster Coordinate Descent via Adaptive Importance Sampling AISTATS 2017
Hit-and-Run for Sampling and Planning in Non-Convex Spaces AISTATS 2017
Efficient Algorithm for Sparse Tensor-variate Gaussian Graphical Models via Gradient Descent AISTATS 2017
Improved Strongly Adaptive Online Learning using Coin Betting AISTATS 2017
Black-box Importance Sampling AISTATS 2017
Frequency Domain Predictive Modelling with Aggregated Data AISTATS 2017
A Unified Computational and Statistical Framework for Nonconvex Low-rank Matrix Estimation AISTATS 2017
A New Class of Private Chi-Square Hypothesis Tests AISTATS 2017
Structured adaptive and random spinners for fast machine learning computations AISTATS 2017
Optimistic Planning for the Stochastic Knapsack Problem AISTATS 2017
Identifying Groups of Strongly Correlated Variables through Smoothed Ordered Weighted $L_1$-norms AISTATS 2017
Tracking Objects with Higher Order Interactions via Delayed Column Generation AISTATS 2017
Sketching Meets Random Projection in the Dual: A Provable Recovery Algorithm for Big and High-dimensional Data AISTATS 2017
Finite-sum Composition Optimization via Variance Reduced Gradient Descent AISTATS 2017
Sketchy Decisions: Convex Low-Rank Matrix Optimization with Optimal Storage AISTATS 2017
Relativistic Monte Carlo AISTATS 2017
Learning the Network Structure of Heterogeneous Data via Pairwise Exponential Markov Random Fields AISTATS 2017