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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)

A Tale of Sampling and Estimation in Discounted Reinforcement Learning AISTATS 2023
An Efficient and Continuous Voronoi Density Estimator AISTATS 2023
Safe Sequential Testing and Effect Estimation in Stratified Count Data AISTATS 2023
Particle algorithms for maximum likelihood training of latent variable models AISTATS 2023
Data Banzhaf: A Robust Data Valuation Framework for Machine Learning AISTATS 2023
Rethinking Initialization of the Sinkhorn Algorithm AISTATS 2023
Scalable Bicriteria Algorithms for Non-Monotone Submodular Cover AISTATS 2023
Huber-robust confidence sequences AISTATS 2023
Hedging against Complexity: Distributionally Robust Optimization with Parametric Approximation AISTATS 2023
Fitting low-rank models on egocentrically sampled partial networks AISTATS 2023
Improved Generalization Bound and Learning of Sparsity Patterns for Data-Driven Low-Rank Approximation AISTATS 2023
Acceleration of Frank-Wolfe Algorithms with Open-Loop Step-Sizes AISTATS 2023
An Online and Unified Algorithm for Projection Matrix Vector Multiplication with Application to Empirical Risk Minimization AISTATS 2023
Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient Methods AISTATS 2023
A Case of Exponential Convergence Rates for SVM AISTATS 2023
Finding Regularized Competitive Equilibria of Heterogeneous Agent Macroeconomic Models via Reinforcement Learning AISTATS 2023
Adaptive Cholesky Gaussian Processes AISTATS 2023
A principled framework for the design and analysis of token algorithms AISTATS 2023
Learning k-qubit Quantum Operators via Pauli Decomposition AISTATS 2023
Overcoming Prior Misspecification in Online Learning to Rank AISTATS 2023
Kernel Conditional Moment Constraints for Confounding Robust Inference AISTATS 2023
Alternating Projected SGD for Equality-constrained Bilevel Optimization AISTATS 2023
qEUBO: A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization AISTATS 2023
Sequential Gradient Descent and Quasi-Newton’s Method for Change-Point Analysis AISTATS 2023
Compress Then Test: Powerful Kernel Testing in Near-linear Time AISTATS 2023