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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)

Corralling a Larger Band of Bandits: A Case Study on Switching Regret for Linear Bandits COLT 2022 Correlated Quantization for Distributed Mean Estimation and Optimization ICML 2022 Correlation-Based Algorithm for Team-Maxmin Equilibrium in Multiplayer Extensive-Form Games IJCAI 2022 Correlation Clustering via Strong Triadic Closure Labeling: Fast Approximation Algorithms and Practical Lower Bounds ICML 2022 Corruption-Robust Contextual Search through Density Updates COLT 2022 CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data CVPR 2022 Cost-efficient Gaussian tensor network embeddings for tensor-structured inputs NeurIPS 2022 Counting, Sampling, and Synthesis: The Quest for Scalability IJCAI 2022 Cryptocurrency Bubble Detection: A New Stock Market Dataset, Financial Task & Hyperbolic Models NAACL 2022 CurvingLoRa to Boost LoRa Network Throughput via Concurrent Transmission NSDI 2022 CVaR-Regret Bounds for Multi-armed Bandits ACML 2022 DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization NeurIPS 2022 Damped Online Newton Step for Portfolio Selection COLT 2022 Data-Driven Chance Constrained Control using Kernel Distribution Embeddings L4DC 2022 Data-Driven Conditional Robust Optimization NeurIPS 2022 Data-driven Control of Unknown Linear Systems via Quantized Feedback L4DC 2022 Data-Driven Real-Time Strategic Placement of Mobile Vaccine Distribution Sites AAAI 2022 Data-Driven Safety Verification of Stochastic Systems via Barrier Certificates: A Wait-and-Judge Approach L4DC 2022 Data-Efficient Structured Pruning via Submodular Optimization NeurIPS 2022 Data-Enabled Gradient Flow as Feedback Controller: Regulation of Linear Dynamical Systems to Minimizers of Unknown Functions L4DC 2022 Debiaser Beware: Pitfalls of Centering Regularized Transport Maps ICML 2022 Debiasing Samples from Online Learning Using Bootstrap AISTATS 2022 Decentralized, Communication- and Coordination-free Learning in Structured Matching Markets NeurIPS 2022 Decentralized Local Stochastic Extra-Gradient for Variational Inequalities NeurIPS 2022 Decentralized Online Convex Optimization in Networked Systems ICML 2022