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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)

Select and Optimize: Learning to solve large-scale TSP instances AISTATS 2023
Statistical Analysis of Karcher Means for Random Restricted PSD Matrices AISTATS 2023
Scalable Bayesian Optimization Using Vecchia Approximations of Gaussian Processes AISTATS 2023
Riemannian Accelerated Gradient Methods via Extrapolation AISTATS 2023
Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data AISTATS 2023
A Constant-Factor Approximation Algorithm for Reconciliation $k$-Median AISTATS 2023
Mixed Linear Regression via Approximate Message Passing AISTATS 2023
Estimating Total Correlation with Mutual Information Estimators AISTATS 2023
Vector Optimization with Stochastic Bandit Feedback AISTATS 2023
Fast Computation of Branching Process Transition Probabilities via ADMM AISTATS 2023
Robust Linear Regression for General Feature Distribution AISTATS 2023
Fair learning with Wasserstein barycenters for non-decomposable performance measures AISTATS 2023
Fast Block Coordinate Descent for Non-Convex Group Regularizations AISTATS 2023
Resolving the Approximability of Offline and Online Non-monotone DR-Submodular Maximization over General Convex Sets AISTATS 2023
{PF}$^2$ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization AISTATS 2023
Improved Rate of First Order Algorithms for Entropic Optimal Transport AISTATS 2023
Nearly Optimal Latent State Decoding in Block MDPs AISTATS 2023
Agnostic PAC Learning of $k$-juntas Using $L_2$-Polynomial Regression AISTATS 2023
Clustering above Exponential Families with Tempered Exponential Measures AISTATS 2023
An Unpooling Layer for Graph Generation AISTATS 2023
Online Learning for Traffic Routing under Unknown Preferences AISTATS 2023
No-Regret Learning in Two-Echelon Supply Chain with Unknown Demand Distribution AISTATS 2023
A Bregman Divergence View on the Difference-of-Convex Algorithm AISTATS 2023
Online Learning for Non-monotone DR-Submodular Maximization: From Full Information to Bandit Feedback AISTATS 2023
No-regret Sample-efficient Bayesian Optimization for Finding Nash Equilibria with Unknown Utilities AISTATS 2023