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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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Papers (including subtopics)

Model-based metrics: Sample-efficient estimates of predictive model subpopulation performance MLHC 2021 Model-based micro-data reinforcement learning: what are the crucial model properties and which model to choose? ICLR 2021 Model-based Reinforcement Learning for Continuous Control with Posterior Sampling ICML 2021 Model-Contrastive Federated Learning CVPR 2021 Model-Free Online Learning in Unknown Sequential Decision Making Problems and Games AAAI 2021 Model-Free Reinforcement Learning: from Clipped Pseudo-Regret to Sample Complexity ICML 2021 Modeling Bilingual Conversational Characteristics for Neural Chat Translation ACL 2021 Modeling Document-Level Context for Event Detection via Important Context Selection EMNLP 2021 Modeling Dysphonia Severity as a Function of Roughness and Breathiness Ratings in the GRBAS Scale Interspeech 2021 Modeling Expert Knowledge in a Heuristic-Based Gin Rummy Agent AAAI 2021 Modeling from Features: a Mean-field Framework for Over-parameterized Deep Neural Networks COLT 2021 Modeling Human Helpfulness with Individual and Contextual Factors for Robot Planning RSS 2021 Modeling Risky Choices in Unknown Environments ACML 2021 Modeling Sense Structure in Word Usage Graphs with the Weighted Stochastic Block Model ACL 2021 Modeling the Second Player in Distributionally Robust Optimization ICLR 2021 Modeling Trajectories with Neural Ordinary Differential Equations IJCAI 2021 Model Linkage Selection for Cooperative Learning JMLR 2021 Model Performance Scaling with Multiple Data Sources ICML 2021 Model, sample, and epoch-wise descents: exact solution of gradient flow in the random feature model NeurIPS 2021 Model Selection for Bayesian Autoencoders NeurIPS 2021 Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings MLHC 2021 Model-sharing Games: Analyzing Federated Learning Under Voluntary Participation AAAI 2021 Models of Reaction Times in Auditory Lexical Decision: RTonset versus RToffset Interspeech 2021 Model-Targeted Poisoning Attacks with Provable Convergence ICML 2021 Model Uncertainty Guides Visual Object Tracking AAAI 2021