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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
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2000
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Papers (including subtopics)

Guiding GBFS through Learned Pairwise Rankings IJCAI 2024 Hamiltonian Monte Carlo for efficient Gaussian sampling: long and random steps JMLR 2024 Handling Heterogeneous Curvatures in Bandit LQR Control ICML 2024 Harnessing Multiple Correlated Networks for Exact Community Recovery NeurIPS 2024 Harvesting Memory-bound CPU Stall Cycles in Software with MSH OSDI 2024 HDQMF: Holographic Feature Decomposition Using Quantum Algorithms CVPR 2024 Hierarchical Decompositions and Termination Analysis for Generalized Planning (Abstract Reprint) IJCAI 2024 Hierarchical Integral Probability Metrics: A distance on random probability measures with low sample complexity ICML 2024 Hierarchical Multi-Marginal Optimal Transport for Network Alignment AAAI 2024 Hierarchize Pareto Dominance in Multi-Objective Stochastic Linear Bandits AAAI 2024 High-Dimensional Geometric Streaming for Nearly Low Rank Data ICML 2024 High-dimensional Linear Bandits with Knapsacks ICML 2024 Higher-Order Causal Message Passing for Experimentation with Complex Interference NeurIPS 2024 High-order Joint Constituency and Dependency Parsing COLING 2024 High Probability and Risk-Averse Guarantees for a Stochastic Accelerated Primal-Dual Method JMLR 2024 High-Probability Bound for Non-Smooth Non-Convex Stochastic Optimization with Heavy Tails ICML 2024 High-probability complexity bounds for stochastic non-convex minimax optimization NeurIPS 2024 High-Probability Convergence for Composite and Distributed Stochastic Minimization and Variational Inequalities with Heavy-Tailed Noise ICML 2024 Horus: Granular In-Network Task Scheduler for Cloud Datacenters NSDI 2024 How does PDE order affect the convergence of PINNs? NeurIPS 2024 How Does Variance Shape the Regret in Contextual Bandits? NeurIPS 2024 How Free is Parameter-Free Stochastic Optimization? ICML 2024 How Over-Parameterization Slows Down Gradient Descent in Matrix Sensing: The Curses of Symmetry and Initialization ICLR 2024 How Smooth Is Attention? ICML 2024 How Sparse Can We Prune A Deep Network: A Fundamental Limit Perspective NeurIPS 2024