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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)

Formalizing Preferences Over Runtime Distributions ICML 2023
On Excess Mass Behavior in Gaussian Mixture Models with Orlicz-Wasserstein Distances ICML 2023
Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano ICML 2023
High-dimensional Location Estimation via Norm Concentration for Subgamma Vectors ICML 2023
Online Platt Scaling with Calibeating ICML 2023
Convex Geometry of ReLU-layers, Injectivity on the Ball and Local Reconstruction ICML 2023
Coupled Variational Autoencoder ICML 2023
Algorithmic Collective Action in Machine Learning ICML 2023
Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients ICML 2023
Sampling-based Nyström Approximation and Kernel Quadrature ICML 2023
Group Equivariant Fourier Neural Operators for Partial Differential Equations ICML 2023
Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching ICML 2023
Approximation Algorithms for Fair Range Clustering ICML 2023
Tighter Analysis for ProxSkip ICML 2023
Omnipredictors for Constrained Optimization ICML 2023
Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization ICML 2023
Beyond Lipschitz Smoothness: A Tighter Analysis for Nonconvex Optimization ICML 2023
Banker Online Mirror Descent: A Universal Approach for Delayed Online Bandit Learning ICML 2023
Fast Algorithms for Distributed k-Clustering with Outliers ICML 2023
Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning ICML 2023
On Coresets for Clustering in Small Dimensional Euclidean spaces ICML 2023
The Power of Uniform Sampling for k-Median ICML 2023
Theoretical Bounds on the Network Community Profile from Low-rank Semi-definite Programming ICML 2023
Neural Network Accelerated Implicit Filtering: Integrating Neural Network Surrogates With Provably Convergent Derivative Free Optimization Methods ICML 2023
CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design ICML 2023