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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)

Improved Analysis of Clipping Algorithms for Non-convex Optimization NeurIPS 2020 Improved Communication Cost in Distributed PageRank Computation – A Theoretical Study ICML 2020 Improved guarantees and a multiple-descent curve for Column Subset Selection and the Nystrom method NeurIPS 2020 Improved Guarantees for k-means++ and k-means++ Parallel NeurIPS 2020 Improved memory in recurrent neural networks with sequential non-normal dynamics ICLR 2020 Improved Natural Language Generation via Loss Truncation ACL 2020 Improved Optimistic Algorithms for Logistic Bandits ICML 2020 Improved PAC-Bayesian Bounds for Linear Regression AAAI 2020 Improved Regret Bounds for Projection-free Bandit Convex Optimization AISTATS 2020 Improved Sample Complexities for Deep Neural Networks and Robust Classification via an All-Layer Margin ICLR 2020 Improved Schemes for Episodic Memory-based Lifelong Learning NeurIPS 2020 Improved Sleeping Bandits with Stochastic Action Sets and Adversarial Rewards ICML 2020 Improved Subsampled Randomized Hadamard Transform for Linear SVM AAAI 2020 Improved Techniques for Training Score-Based Generative Models NeurIPS 2020 Improved Training Strategies for End-to-End Speech Recognition in Digital Voice Assistants Interspeech 2020 Improved Variational Bayesian Phylogenetic Inference with Normalizing Flows NeurIPS 2020 Improved Vector Pruning in Exact Algorithms for Solving POMDPs UAI 2020 Improve Transformer Models with Better Relative Position Embeddings EMNLP 2020 Improving Adversarial Robustness Requires Revisiting Misclassified Examples ICLR 2020 Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation IJCAI 2020 Improving Confidence Estimates for Unfamiliar Examples CVPR 2020 Improving Conversational Question Answering Systems after Deployment using Feedback-Weighted Learning COLING 2020 Improving End-to-End Speech-to-Intent Classification with Reptile Interspeech 2020 Improving First-Order Optimization Algorithms (Student Abstract) AAAI 2020 Improving GAN Training with Probability Ratio Clipping and Sample Reweighting NeurIPS 2020