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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 To Solve Circuit-SAT: An Unsupervised Differentiable Approach ICLR 2019 Learning to Solve NP-Complete Problems: A Graph Neural Network for Decision TSP AAAI 2019 Learning to Stop in Structured Prediction for Neural Machine Translation NAACL 2019 Learning Transformation Synchronization CVPR 2019 Learning Tree Structures from Noisy Data AISTATS 2019 Learning Two-layer Neural Networks with Symmetric Inputs ICLR 2019 Learning Two Layer Rectified Neural Networks in Polynomial Time COLT 2019 Learning Unfaithful K-separable Gaussian Graphical Models JMLR 2019 Learning With Average Precision: Training Image Retrieval With a Listwise Loss ICCV 2019 Learning with Bad Training Data via Iterative Trimmed Loss Minimization ICML 2019 Learning With Batch-Wise Optimal Transport Loss for 3D Shape Recognition CVPR 2019 Learning with Non-Convex Truncated Losses by SGD UAI 2019 Learning Word Embeddings without Context Vectors ACL 2019 Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting ICML 2019 Least Squares Estimation of Weakly Convex Functions AISTATS 2019 Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin AAAI 2019 Leveraging Experience in Lazy Search RSS 2019 Leveraging Meta Information in Short Text Aggregation ACL 2019 Leveraging Observations in Bandits: Between Risks and Benefits AAAI 2019 Leveraging Structural and Semantic Correspondence for Attribute-Oriented Aspect Sentiment Discovery EMNLP 2019 Lexical concreteness in narrative ACL 2019 Lexicographic and Depth-Sensitive Margins in Homogeneous and Non-Homogeneous Deep Models ICML 2019 LF-MMI Training of Bayesian and Gaussian Process Time Delay Neural Networks for Speech Recognition Interspeech 2019 LF-PPL: A Low-Level First Order Probabilistic Programming Language for Non-Differentiable Models AISTATS 2019 Libra R-CNN: Towards Balanced Learning for Object Detection CVPR 2019