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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
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2000
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Papers (including subtopics)

A Simple and Adaptive Learning Rate for FTRL in Online Learning with Minimax Regret of Θ(T^2/3) and its Application to Best-of-Both-Worlds NeurIPS 2024 A Simple and Optimal Approach for Universal Online Learning with Gradient Variations NeurIPS 2024 A Single-Loop Robust Policy Gradient Method for Robust Markov Decision Processes ICML 2024 ASML: A Scalable and Efficient AutoML Solution for Data Streams AutoML 2024 A Specialized Semismooth Newton Method for Kernel-Based Optimal Transport AISTATS 2024 Aspect Variability and the Annotation of Aspect in the IMAGACT Ontology of Action COLING 2024 A Study of First-Order Methods with a Deterministic Relative-Error Gradient Oracle ICML 2024 A Submodular Optimization Approach to Accountable Loan Approval AAAI 2024 A Subquadratic Time Algorithm for Robust Sparse Mean Estimation ICML 2024 A Subspace-Constrained Tyler's Estimator and its Applications to Structure from Motion CVPR 2024 A Surprisingly Simple Continuous-Action POMDP Solver: Lazy Cross-Entropy Search Over Policy Trees AAAI 2024 A Survey on Multi-player Bandits JMLR 2024 Asymptotically Optimal and Computationally Efficient Average Treatment Effect Estimation in A/B testing ICML 2024 Asynchronous Randomized Trace Estimation AISTATS 2024 A Theory of Optimistically Universal Online Learnability for General Concept Classes NeurIPS 2024 Atomic Recovery Property for Multi-view Subspace-Preserving Recovery IJCAI 2024 A Trajectory Tracking Algorithm for the LSMS Family of Cable-Driven Cranes RSS 2024 A two-scale Complexity Measure for Deep Learning Models NeurIPS 2024 AuctionNet: A Novel Benchmark for Decision-Making in Large-Scale Games NeurIPS 2024 Auditable Algorithms for Approximate Model Counting AAAI 2024 AUGUR: Practical Mobile Multipath Transport Service for Low Tail Latency in Real-Time Streaming NSDI 2024 A Unified Framework for Bayesian Optimization under Contextual Uncertainty ICLR 2024 A Universal Class of Sharpness-Aware Minimization Algorithms ICML 2024 A Universal Transfer Theorem for Convex Optimization Algorithms Using Inexact First-order Oracles ICML 2024 Autobidder's Dilemma: Why More Sophisticated Autobidders Lead to Worse Auction Efficiency NeurIPS 2024