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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)

Active Cost-aware Labeling of Streaming Data AISTATS 2023
Krylov–Bellman boosting: Super-linear policy evaluation in general state spaces AISTATS 2023
On the Convergence of Distributed Stochastic Bilevel Optimization Algorithms over a Network AISTATS 2023
Pricing against a Budget and ROI Constrained Buyer AISTATS 2023
Incentive-aware Contextual Pricing with Non-parametric Market Noise AISTATS 2023
Optimal robustness-consistency tradeoffs for learning-augmented metrical task systems AISTATS 2023
Randomized geometric tools for anomaly detection in stock markets AISTATS 2023
Instance-dependent Sample Complexity Bounds for Zero-sum Matrix Games AISTATS 2023
Nash Equilibria and Pitfalls of Adversarial Training in Adversarial Robustness Games AISTATS 2023
Reducing Discretization Error in the Frank-Wolfe Method AISTATS 2023
Precision/Recall on Imbalanced Test Data AISTATS 2023
Doubly Fair Dynamic Pricing AISTATS 2023
Large deviations rates for stochastic gradient descent with strongly convex functions AISTATS 2023
Stochastic Optimization for Spectral Risk Measures AISTATS 2023
Oracle-free Reinforcement Learning in Mean-Field Games along a Single Sample Path AISTATS 2023
Fast Variational Estimation of Mutual Information for Implicit and Explicit Likelihood Models AISTATS 2023
A Conditional Gradient-based Method for Simple Bilevel Optimization with Convex Lower-level Problem AISTATS 2023
DIET: Conditional independence testing with marginal dependence measures of residual information AISTATS 2023
Competing against Adaptive Strategies in Online Learning via Hints AISTATS 2023
Minimum-Entropy Coupling Approximation Guarantees Beyond the Majorization Barrier AISTATS 2023
Graph Spectral Embedding using the Geodesic Betweenness Centrality AISTATS 2023
Score-based Quickest Change Detection for Unnormalized Models AISTATS 2023
Wasserstein Distributional Learning via Majorization-Minimization AISTATS 2023
HeteRSGD: Tackling Heterogeneous Sampling Costs via Optimal Reweighted Stochastic Gradient Descent AISTATS 2023
Convolutional Persistence as a Remedy to Neural Model Analysis AISTATS 2023