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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)

Implicit Posterior Variational Inference for Deep Gaussian Processes NeurIPS 2019 Implicit Regularization for Optimal Sparse Recovery NeurIPS 2019 Implicit Regularization in Deep Matrix Factorization NeurIPS 2019 Implicit Regularization of Accelerated Methods in Hilbert Spaces NeurIPS 2019 Implicit Regularization of Discrete Gradient Dynamics in Linear Neural Networks NeurIPS 2019 Importance Estimation for Neural Network Pruning CVPR 2019 Importance Sampling Policy Evaluation with an Estimated Behavior Policy ICML 2019 Importance Weighted Hierarchical Variational Inference NeurIPS 2019 Improved Differentiable Architecture Search for Language Modeling and Named Entity Recognition EMNLP 2019 Improved Dynamic Graph Learning through Fault-Tolerant Sparsification ICML 2019 Improved Generalization Bounds for Robust Learning ALT 2019 Improved Knowledge Graph Embedding Using Background Taxonomic Information AAAI 2019 Improved Parallel Algorithms for Density-Based Network Clustering ICML 2019 Improved Regret Bounds for Bandit Combinatorial Optimization NeurIPS 2019 Improving Adversarial Robustness via Guided Complement Entropy ICCV 2019 Improving Answer Selection and Answer Triggering using Hard Negatives EMNLP 2019 Improving Black-box Adversarial Attacks with a Transfer-based Prior NeurIPS 2019 Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention EMNLP 2019 Improving Generalization and Stability of Generative Adversarial Networks ICLR 2019 Improving Law Enforcement Daily Deployment Through Machine Learning-Informed Optimization under Uncertainty IJCAI 2019 Improving MMD-GAN Training with Repulsive Loss Function ICLR 2019 Improving Model Selection by Employing the Test Data ICML 2019 Improving Nash Social Welfare Approximations IJCAI 2019 Improving One-Class Collaborative Filtering via Ranking-Based Implicit Regularizer AAAI 2019 Improving Open Information Extraction via Iterative Rank-Aware Learning ACL 2019