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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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'25

Papers (including subtopics)

On Learning Graphs with Edge-Detecting Queries ALT 2019 On Learning Invariant Representations for Domain Adaptation ICML 2019 On Learning Over-parameterized Neural Networks: A Functional Approximation Perspective NeurIPS 2019 On Lifted Inference Using Neural Embeddings AAAI 2019 Online Algorithm for Unsupervised Sensor Selection AISTATS 2019 Online Continual Learning with Maximal Interfered Retrieval NeurIPS 2019 Online Convex Matrix Factorization with Representative Regions NeurIPS 2019 Online Convex Optimization for Sequential Decision Processes and Extensive-Form Games AAAI 2019 Online Convex Optimization in Adversarial Markov Decision Processes ICML 2019 Online Decentralized Leverage Score Sampling for Streaming Multidimensional Time Series AISTATS 2019 Online EXP3 Learning in Adversarial Bandits with Delayed Feedback NeurIPS 2019 Online Factorization and Partition of Complex Networks by Random Walk UAI 2019 Online Forecasting of Total-Variation-bounded Sequences NeurIPS 2019 Online High Rank Matrix Completion CVPR 2019 Online Incremental Learning of the Terrain Traversal Cost in Autonomous Exploration RSS 2019 Online Influence Maximization with Local Observations ALT 2019 Online Learning from Data Streams with Varying Feature Spaces AAAI 2019 Online Learning in Kernelized Markov Decision Processes AISTATS 2019 On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters AAAI 2019 Online Learning to Rank with Features ICML 2019 Online Linear Optimization with Sparsity Constraints ALT 2019 Online Multiclass Boosting with Bandit Feedback AISTATS 2019 Online Non-Additive Path Learning under Full and Partial Information ALT 2019 Online Normalization for Training Neural Networks NeurIPS 2019 Online Pandora’s Boxes and Bandits AAAI 2019