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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)

Learning Halfspaces with Massart Noise Under Structured Distributions COLT 2020 Learning Hierarchical Interactions at Scale: A Convex Optimization Approach AISTATS 2020 Learning Hybrid Control Barrier Functions from Data CoRL 2020 Learning Informative Representations of Biomedical Relations with Latent Variable Models EMNLP 2020 Learning in Gated Neural Networks AISTATS 2020 Learning Interpretable Models using Soft Integrity Constraints ACML 2020 Learning Interpretable Relationships between Entities, Relations and Concepts via Bayesian Structure Learning on Open Domain Facts ACL 2020 Learning Intrinsic Rewards as a Bi-Level Optimization Problem UAI 2020 Learning Joint Articulatory-Acoustic Representations with Normalizing Flows Interspeech 2020 Learning Kernel Tests Without Data Splitting NeurIPS 2020 Learning Latent Space Energy-Based Prior Model NeurIPS 2020 Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables JMLR 2020 Learning Linear Programs from Optimal Decisions NeurIPS 2020 Learning Mixed Latent Tree Models JMLR 2020 Learning Mixtures of Graphs from Epidemic Cascades ICML 2020 Learning Model with Error -- Exposing the Hidden Model of BAYHENN IJCAI 2020 Learning Near Optimal Policies with Low Inherent Bellman Error ICML 2020 Learning nonlinear dynamical systems from a single trajectory L4DC 2020 Learning of Sub-optimal Gait Controllers for Magnetic Walking Soft Millirobots RSS 2020 Learning Opinions in Social Networks ICML 2020 Learning Optimal Cyclic Causal Graphs from Interventional Data PGM 2020 Learning Optimal Decision Trees Using Caching Branch-and-Bound Search AAAI 2020 Learning Optimal Representations with the Decodable Information Bottleneck NeurIPS 2020 Learning Optimal Tree Models under Beam Search ICML 2020 Learning Over-Parametrized Two-Layer Neural Networks beyond NTK COLT 2020