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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)

Stochastic Multi-Armed Bandits with Strongly Reward-Dependent Delays AISTATS 2024
A Greedy Approximation for k-Determinantal Point Processes AISTATS 2024
Learning the Pareto Set Under Incomplete Preferences: Pure Exploration in Vector Bandits AISTATS 2024
The Relative Gaussian Mechanism and its Application to Private Gradient Descent AISTATS 2024
Learning Fair Division from Bandit Feedback AISTATS 2024
Optimal Transport for Measures with Noisy Tree Metric AISTATS 2024
General Tail Bounds for Non-Smooth Stochastic Mirror Descent AISTATS 2024
Learning multivariate temporal point processes via the time-change theorem AISTATS 2024
Formal Verification of Unknown Stochastic Systems via Non-parametric Estimation AISTATS 2024
Implicit Bias in Noisy-SGD: With Applications to Differentially Private Training AISTATS 2024
Training a Tucker Model With Shared Factors: a Riemannian Optimization Approach AISTATS 2024
DiffRed: Dimensionality reduction guided by stable rank AISTATS 2024
Data-Driven Confidence Intervals with Optimal Rates for the Mean of Heavy-Tailed Distributions AISTATS 2024
Trigonometric Quadrature Fourier Features for Scalable Gaussian Process Regression AISTATS 2024
Taming Nonconvex Stochastic Mirror Descent with General Bregman Divergence AISTATS 2024
Cylindrical Thompson Sampling for High-Dimensional Bayesian Optimization AISTATS 2024
Leveraging Continuous Time to Understand Momentum When Training Diagonal Linear Networks AISTATS 2024
Sequential learning of the Pareto front for multi-objective bandits AISTATS 2024
Equivalence Testing: The Power of Bounded Adaptivity AISTATS 2024
On the estimation of persistence intensity functions and linear representations of persistence diagrams AISTATS 2024
Optimal estimation of Gaussian (poly)trees AISTATS 2024
Dissimilarity Bandits AISTATS 2024
Consistent Optimal Transport with Empirical Conditional Measures AISTATS 2024
Stochastic Extragradient with Random Reshuffling: Improved Convergence for Variational Inequalities AISTATS 2024
Inconsistency of Cross-Validation for Structure Learning in Gaussian Graphical Models AISTATS 2024