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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)

Minimax Optimal Regression over Sobolev Spaces via Laplacian Regularization on Neighborhood Graphs AISTATS 2021 Minimax Regret for Stochastic Shortest Path NeurIPS 2021 Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes AAAI 2021 Minimax sample complexity for turn-based stochastic game UAI 2021 Minimizing Energy Consumption Leads to the Emergence of Gaits in Legged Robots CoRL 2021 Minimum-Norm Differential Beamforming for Linear Array with Directional Microphones Interspeech 2021 Minimum Width for Universal Approximation ICLR 2021 Mining EL Bases with Adaptable Role Depth AAAI 2021 Min/max stability and box distributions UAI 2021 Mirror Descent and the Information Ratio COLT 2021 Mirror Langevin Monte Carlo: the Case Under Isoperimetry NeurIPS 2021 Misclassification Risk and Uncertainty Quantification in Deep Classifiers WACV 2021 Misspecification in Prediction Problems and Robustness via Improper Learning AISTATS 2021 Misspecified Gaussian Process Bandit Optimization NeurIPS 2021 Mitigating Data Scarceness through Data Synthesis, Augmentation and Curriculum for Abstractive Summarization EMNLP 2021 Mixed Cross Entropy Loss for Neural Machine Translation ICML 2021 Mixed variable Bayesian optimization with frequency modulated kernels UAI 2021 Mixing Time of Metropolis-Hastings for Bayesian Community Detection JMLR 2021 Mixture Martingales Revisited with Applications to Sequential Tests and Confidence Intervals JMLR 2021 Mixture Proportion Estimation and PU Learning:A Modern Approach NeurIPS 2021 Mixture weights optimisation for Alpha-Divergence Variational Inference NeurIPS 2021 MLE-Guided Parameter Search for Task Loss Minimization in Neural Sequence Modeling AAAI 2021 MMIM: An Interpretable Regularization Method for Neural Networks (Student Abstract) AAAI 2021 Model-Agnostic Fast Adaptive Multi-Objective Balancing Algorithm for Multilingual Automatic Speech Recognition Model Training Interspeech 2021 Model-Based Domain Generalization NeurIPS 2021