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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

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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Improving Optimization Bounds Using Machine Learning: Decision Diagrams Meet Deep Reinforcement Learning AAAI 2019 Improving Performance of End-to-End ASR on Numeric Sequences Interspeech 2019 Improving Quadrature for Constrained Integrands AISTATS 2019 Improving Sequence-to-Sequence Learning via Optimal Transport ICLR 2019 Improving Textual Network Embedding with Global Attention via Optimal Transport ACL 2019 Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization ACL 2019 Improving the Stability of the Knockoff Procedure: Multiple Simultaneous Knockoffs and Entropy Maximization AISTATS 2019 Improving Transformer-Based End-to-End Speech Recognition with Connectionist Temporal Classification and Language Model Integration Interspeech 2019 Imputing Missing Events in Continuous-Time Event Streams ICML 2019 Incorporating Behavioral Constraints in Online AI Systems AAAI 2019 Incorporating Context and External Knowledge for Pronoun Coreference Resolution NAACL 2019 Incorporating Label Dependencies in Multilabel Stance Detection EMNLP 2019 Incremental Elicitation of Rank-Dependent Aggregation Functions based on Bayesian Linear Regression IJCAI 2019 Incremental Randomized Sketching for Online Kernel Learning ICML 2019 Individual Regret in Cooperative Nonstochastic Multi-Armed Bandits NeurIPS 2019 Inference under Information Constraints: Lower Bounds from Chi-Square Contraction COLT 2019 Influence of Contextuality on Prosodic Realization of Information Structure in Chinese Dialogues Interspeech 2019 Information Aggregation for Multi-Head Attention with Routing-by-Agreement NAACL 2019 Information asymmetry in KL-regularized RL ICLR 2019 Information Maximizing Visual Question Generation CVPR 2019 Information-Theoretic Confidence Bounds for Reinforcement Learning NeurIPS 2019 Information-Theoretic Considerations in Batch Reinforcement Learning ICML 2019 Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates NeurIPS 2019 Information Theoretic lower bounds on negative log likelihood ICLR 2019 Informative Object Annotations: Tell Me Something I Don't Know CVPR 2019