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Optimization

12,959 papers (55 classified directly here)

Subtopics

Continuous Optimization (3,907) Stochastic Methods (2,788) Combinatorial Optimization (2,409) Online Algorithms (2,192) Optimization (1,207) Game Theory (944) Discrete Optimization (705) Convex Optimization (591) Optimal Transport (369) Sparse Optimization (347) Optimal Control (225) Global Optimization (190) Distributed Learning (157) Multi-Objective Optimization (125) Approximation Algorithms (110) Bayesian Optimization (100) Distributed Optimization (99) Theory (98) Non-Convex Optimization (76) Kernel Methods (73) Compressed Sensing (72) Robust Optimization (70) Evolutionary Algorithm (58) Linear Programming (43) Algorithms (10) Algorithm (10) Integer Programming (9) Submodular Optimization (9) Matrix Completion (8) Bilevel Optimization (8) Tensor Decomposition (6) Regularization (5)

Papers per year

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Papers (including subtopics)

Sensitivity in Translation Averaging NIPS 2023
Data-Dependent Bounds for Online Portfolio Selection Without Lipschitzness and Smoothness NIPS 2023
Outlier-Robust Wasserstein DRO NIPS 2023
Finding Local Minima Efficiently in Decentralized Optimization NIPS 2023
Convergence analysis of ODE models for accelerated first-order methods via positive semidefinite kernels NIPS 2023
Robust Matrix Sensing in the Semi-Random Model NIPS 2023
Variational Annealing on Graphs for Combinatorial Optimization NIPS 2023
Bayesian Active Causal Discovery with Multi-Fidelity Experiments NIPS 2023
Accelerated Zeroth-order Method for Non-Smooth Stochastic Convex Optimization Problem with Infinite Variance NIPS 2023
Lo-Hi: Practical ML Drug Discovery Benchmark NIPS 2023
Streaming PCA for Markovian Data NIPS 2023
Neural Circuits for Fast Poisson Compressed Sensing in the Olfactory Bulb NIPS 2023
Single-Call Stochastic Extragradient Methods for Structured Non-monotone Variational Inequalities: Improved Analysis under Weaker Conditions NIPS 2023
Learning Rate Free Sampling in Constrained Domains NIPS 2023
Private (Stochastic) Non-Convex Optimization Revisited: Second-Order Stationary Points and Excess Risks NIPS 2023
Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms NIPS 2023
Kernel Quadrature with Randomly Pivoted Cholesky NIPS 2023
Experimental Designs for Heteroskedastic Variance NIPS 2023
Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials NIPS 2023
Scalable Fair Influence Maximization NIPS 2023
Near-Linear Time Algorithm for the Chamfer Distance NIPS 2023
Machine learning detects terminal singularities NIPS 2023
Learning Regularized Monotone Graphon Mean-Field Games NIPS 2023
An Improved Relaxation for Oracle-Efficient Adversarial Contextual Bandits NIPS 2023
Fast Approximation of Similarity Graphs with Kernel Density Estimation NIPS 2023