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Optimization & Theory

43,292 papers (3 classified directly here)

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

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

1
52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Fast Extra Gradient Methods for Smooth Structured Nonconvex-Nonconcave Minimax Problems NeurIPS 2021 Fast Fourier Intrinsic Network WACV 2021 Fast Geometric Projections for Local Robustness Certification ICLR 2021 FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging EMNLP 2021 Fast Learning for Renewal Optimization in Online Task Scheduling JMLR 2021 Fast Learning in Reproducing Kernel Krein Spaces via Signed Measures AISTATS 2021 Fast margin maximization via dual acceleration ICML 2021 Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints NeurIPS 2021 Fast Multi-label Learning IJCAI 2021 Fast Pareto Optimization for Subset Selection with Dynamic Cost Constraints IJCAI 2021 Fast rates for prediction with limited expert advice NeurIPS 2021 Fast Rates for Structured Prediction COLT 2021 Fast Rates for the Regret of Offline Reinforcement Learning COLT 2021 FastSeq: Make Sequence Generation Faster ACL 2021 Fast Sketching of Polynomial Kernels of Polynomial Degree ICML 2021 Fast Stochastic Kalman Gradient Descent for Reinforcement Learning L4DC 2021 Fast Tucker Rank Reduction for Non-Negative Tensors Using Mean-Field Approximation NeurIPS 2021 Fault-Tolerant Replication with Pull-Based Consensus in MongoDB NSDI 2021 Feature Clustering for Support Identification in Extreme Regions ICML 2021 Feature Importance-Aware Transferable Adversarial Attacks ICCV 2021 Featurized density ratio estimation UAI 2021 FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning ICLR 2021 Federated Block Coordinate Descent Scheme for Learning Global and Personalized Models AAAI 2021 Federated Composite Optimization ICML 2021 Federated-EM with heterogeneity mitigation and variance reduction NeurIPS 2021