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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)

Bandit optimisation of functions in the Matérn kernel RKHS AISTATS 2020
Computing Tight Differential Privacy Guarantees Using FFT AISTATS 2020
Thresholding Bandit Problem with Both Duels and Pulls AISTATS 2020
The Quantile Snapshot Scan: Comparing Quantiles of Spatial Data from Two Snapshots in Time AISTATS 2020
Statistical guarantees for local graph clustering AISTATS 2020
Learning High-dimensional Gaussian Graphical Models under Total Positivity without Adjustment of Tuning Parameters AISTATS 2020
Kernels over Sets of Finite Sets using RKHS Embeddings, with Application to Bayesian (Combinatorial) Optimization AISTATS 2020
Statistical Estimation of the Poincaré constant and Application to Sampling Multimodal Distributions AISTATS 2020
Integrals over Gaussians under Linear Domain Constraints AISTATS 2020
Taxonomy of Dual Block-Coordinate Ascent Methods for Discrete Energy Minimization AISTATS 2020
PersLay: A Neural Network Layer for Persistence Diagrams and New Graph Topological Signatures AISTATS 2020
MAP Inference for Customized Determinantal Point Processes via Maximum Inner Product Search AISTATS 2020
Why Non-myopic Bayesian Optimization is Promising and How Far Should We Look-ahead? A Study via Rollout AISTATS 2020
Guaranteed Validity for Empirical Approaches to Adaptive Data Analysis AISTATS 2020
Fast Markov chain Monte Carlo algorithms via Lie groups AISTATS 2020
Online Convex Optimization with Perturbed Constraints: Optimal Rates against Stronger Benchmarks AISTATS 2020
Mixed Strategies for Robust Optimization of Unknown Objectives AISTATS 2020
Solving Discounted Stochastic Two-Player Games with Near-Optimal Time and Sample Complexity AISTATS 2020
Convergence Rates of Smooth Message Passing with Rounding in Entropy-Regularized MAP Inference AISTATS 2020
Importance Sampling via Local Sensitivity AISTATS 2020
Convergence Analysis of Block Coordinate Algorithms with Determinantal Sampling AISTATS 2020
Bisect and Conquer: Hierarchical Clustering via Max-Uncut Bisection AISTATS 2020
Causal Bayesian Optimization AISTATS 2020
Quantitative stability of optimal transport maps and linearization of the 2-Wasserstein space AISTATS 2020
Bayesian experimental design using regularized determinantal point processes AISTATS 2020