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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

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

Agnostic Q-learning with Function Approximation in Deterministic Systems: Near-Optimal Bounds on Approximation Error and Sample Complexity NeurIPS 2020 Agnostic Estimation for Phase Retrieval JMLR 2020 Agnostic Learning of a Single Neuron with Gradient Descent NeurIPS 2020 Agnostic Learning with Multiple Objectives NeurIPS 2020 A Graduated Filter Method for Large Scale Robust Estimation CVPR 2020 A Greedy Anytime Algorithm for Sparse PCA COLT 2020 A Greedy Bit-flip Training Algorithm for Binarized Knowledge Graph Embeddings EMNLP 2020 Agree to Disagree: Adaptive Ensemble Knowledge Distillation in Gradient Space NeurIPS 2020 A Group-Theoretic Framework for Data Augmentation NeurIPS 2020 A High-Speed Load-Balancer Design with Guaranteed Per-Connection-Consistency NSDI 2020 A Hybrid Stochastic Policy Gradient Algorithm for Reinforcement Learning AISTATS 2020 AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity NeurIPS 2020 AIN: Fast and Accurate Sequence Labeling with Approximate Inference Network EMNLP 2020 AI Trust in Business Processes: The Need for Process-Aware Explanations AAAI 2020 A Joint Model for Document Segmentation and Segment Labeling ACL 2020 A Journey into Ontology Approximation: From Non-Horn to Horn IJCAI 2020 A Learning Based Branch and Bound for Maximum Common Subgraph Related Problems AAAI 2020 Algebraic and Analytic Approaches for Parameter Learning in Mixture Models ALT 2020 Algorithms and SQ Lower Bounds for PAC Learning One-Hidden-Layer ReLU Networks COLT 2020 Algorithms for Estimating the Partition Function of Restricted Boltzmann Machines (Extended Abstract) IJCAI 2020 A Lighting-Invariant Point Processor for Shading CVPR 2020 Aligned Cross Entropy for Non-Autoregressive Machine Translation ICML 2020 AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows AAAI 2020 A Limitation of the PAC-Bayes Framework NeurIPS 2020 A Linear-time Independence Criterion Based on a Finite Basis Approximation AISTATS 2020