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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
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2000
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Papers (including subtopics)

Incentivized Learning in Principal-Agent Bandit Games ICML 2024 Incorporating Surrogate Gradient Norm to Improve Offline Optimization Techniques NeurIPS 2024 Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates AAAI 2024 Independence of Irrelevant Alternatives under the Lens of Pairwise Distortion AAAI 2024 Independent-Set Design of Experiments for Estimating Treatment and Spillover Effects under Network Interference ICLR 2024 Individual Fairness under Group Fairness Constraints in Bipartite Matching - One Framework to Approximate Them All IJCAI 2024 Individualized Privacy Accounting via Subsampling with Applications in Combinatorial Optimization ICML 2024 Individual Rationality in Topological Distance Games Is Surprisingly Hard IJCAI 2024 Inductive Invariants That Spark Joy: Using Invariant Taxonomies to Streamline Distributed Protocol Proofs OSDI 2024 Inertial Algorithm with Dry Fraction and Convolutional Sparse Coding for 3D Localization with Light Field Microscopy AAAI 2024 Inexact Augmented Lagrangian Methods for Conic Optimization: Quadratic Growth and Linear Convergence NeurIPS 2024 Inexact Newton-type Methods for Optimisation with Nonnegativity Constraints ICML 2024 Infeasible Deterministic, Stochastic, and Variance-Reduction Algorithms for Optimization under Orthogonality Constraints JMLR 2024 Inference in Probabilistic Answer Set Programs with Imprecise Probabilities via Optimization UAI 2024 Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting ICML 2024 Inferring Neural Signed Distance Functions by Overfitting on Single Noisy Point Clouds through Finetuning Data-Driven based Priors NeurIPS 2024 Infinite-Horizon Distributionally Robust Regret-Optimal Control ICML 2024 Information Capacity Regret Bounds for Bandits with Mediator Feedback JMLR 2024 Information Complexity of Stochastic Convex Optimization: Applications to Generalization, Memorization, and Tracing ICML 2024 Information Design for Congestion Games with Unknown Demand AAAI 2024 Information Theoretically Optimal Sample Complexity of Learning Dynamical Directed Acyclic Graphs AISTATS 2024 Informative Path Planning with Limited Adaptivity AISTATS 2024 INFORMEDQX: Informed Conflict Detection for Over-Constrained Problems AAAI 2024 Inherent Trade-Offs between Diversity and Stability in Multi-Task Benchmarks ICML 2024 InitNO: Boosting Text-to-Image Diffusion Models via Initial Noise Optimization CVPR 2024