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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)

A Two-Step Approach for Automatic OCR Post-Correction COLING 2020 AUC Optimization with a Reject Option AAAI 2020 Audio Dequantization for High Fidelity Audio Generation in Flow-Based Neural Vocoder Interspeech 2020 Augmenting Genetic Algorithms with Deep Neural Networks for Exploring the Chemical Space ICLR 2020 Augmenting NLP models using Latent Feature Interpolations COLING 2020 Augment Your Batch: Improving Generalization Through Instance Repetition CVPR 2020 A Unified Analysis of Extra-gradient and Optimistic Gradient Methods for Saddle Point Problems: Proximal Point Approach AISTATS 2020 A Unified Architecture for Accelerating Distributed DNN Training in Heterogeneous GPU/CPU Clusters OSDI 2020 A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks JMLR 2020 A Unified Model for the Two-stage Offline-then-Online Resource Allocation IJCAI 2020 A Unified Optimization Framework for Low-Rank Inducing Penalties CVPR 2020 A Unified q-Memorization Framework for Asynchronous Stochastic Optimization JMLR 2020 A Unified Statistically Efficient Estimation Framework for Unnormalized Models AISTATS 2020 A Unified Stochastic Gradient Approach to Designing Bayesian-Optimal Experiments AISTATS 2020 A Unified Switching System Perspective and Convergence Analysis of Q-Learning Algorithms NeurIPS 2020 A Unified Theory of Decentralized SGD with Changing Topology and Local Updates ICML 2020 A Unified Theory of SGD: Variance Reduction, Sampling, Quantization and Coordinate Descent AISTATS 2020 A Unified View of Label Shift Estimation NeurIPS 2020 A Unifying Theory of Transition-based and Sequence Labeling Parsing COLING 2020 A Unifying View of Optimism in Episodic Reinforcement Learning NeurIPS 2020 A Unifying View on Individual Bounds and Heuristic Inaccuracies in Bidirectional Search AAAI 2020 A Universal Approximation Theorem of Deep Neural Networks for Expressing Probability Distributions NeurIPS 2020 AutoBSS: An Efficient Algorithm for Block Stacking Style Search NeurIPS 2020 AutoDAL: Distributed Active Learning with Automatic Hyperparameter Selection AAAI 2020 Autoencoder Bottleneck Features with Multi-Task Optimisation for Improved Continuous Dysarthric Speech Recognition Interspeech 2020