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Optimization

14,850 papers (55 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Continuous Optimization (4,424) Stochastic Methods (2,991) Combinatorial Optimization (2,615) Online Algorithms (2,404) Optimization (1,521) Game Theory (1,046) Convex Optimization (864) Discrete Optimization (721) Optimal Transport (474) Sparse Optimization (416) Optimal Control (271) Global Optimization (200) Non-Convex Optimization (182) Distributed Learning (164) Approximation Algorithms (162) Multi-Objective Optimization (151) Distributed Optimization (136) Bayesian Optimization (132) Theory (109) Compressed Sensing (102) Algorithms (89) Robust Optimization (86) Submodular Optimization (77) Kernel Methods (75) Evolutionary Algorithm (72) Linear Programming (54) Tensor Decomposition (48) Bilevel Optimization (42) Integer Programming (38) Matrix Completion (33) Algorithm (21) Regularization (11)

Papers per year

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16
133
440
1,353
1,441
2000
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Papers (including subtopics)

New Lower Bounds for Non-Convex Stochastic Optimization through Divergence Decomposition COLT 2025 New Sequence-Independent Lifting Techniques for Cover Inequalities and When They Induce Facets IJCAI 2025 Newton Meets Marchenko-Pastur: Massively Parallel Second-Order Optimization with Hessian Sketching and Debiasing ICLR 2025 Noisy Low-Rank Matrix Completion via Transformed L_1 Regularization and its Theoretical Properties AISTATS 2025 Noisy SIGNSGD Is More Differentially Private Than You (Might) Think ICML 2025 Nonasymptotic Analysis of Stochastic Gradient Descent with the Richardson–Romberg Extrapolation ICLR 2025 Non-Asymptotic and Non-Lipschitzian Bounds on Optimal Values in Stochastic Optimization Under Heavy Tails ICML 2025 Non-asymptotic Error Bounds in W_2-Distance with Sqrt(d) Dimension Dependence and First Order Convergence for Langevin Monte Carlo beyond Log-Concavity ICML 2025 Non-Asymptotic Length Generalization ICML 2025 Nonconvex Linear System Identification with Minimal State Representation L4DC 2025 Non-convex matrix sensing: Breaking the quadratic rank barrier in the sample complexity Extended Abstract COLT 2025 Nonconvex Stochastic Bregman Proximal Gradient Method with Application to Deep Learning JMLR 2025 Nonconvex Stochastic Optimization under Heavy-Tailed Noises: Optimal Convergence without Gradient Clipping ICLR 2025 Non-Convex Tensor Recovery from Local Measurements AAAI 2025 Nonconvex Theory of M-estimators with Decomposable Regularizers ICML 2025 Non-Equilibrium Dynamics of Hybrid Continuous-Discrete Ground-State Sampling ICLR 2025 Non-Euclidean High-Order Smooth Convex Optimization Extended Abstract COLT 2025 Nonlinearly Preconditioned Gradient Methods under Generalized Smoothness ICML 2025 Non-Monetary Mechanism Design without Distributional Information: Using Scarce Audits Wisely (Extended Abstract) COLT 2025 Nonparametric Distributional Regression via Quantile Regression AISTATS 2025 Nonparametric Teaching for Graph Property Learners ICML 2025 Non-stationary Online Learning for Curved Losses: Improved Dynamic Regret via Mixability ICML 2025 Non-stochastic Bandits With Evolving Observations ALT 2025 Non-stochastic Budgeted Online Pricing with Semi-Bandit Feedback AAAI 2025 No-Regret Bayesian Optimization with Stochastic Observation Failures AISTATS 2025