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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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828
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2000
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Papers (including subtopics)

Fast, Provably convergent IRLS Algorithm for p-norm Linear Regression NeurIPS 2019 Fast Proximal Gradient Descent for A Class of Non-convex and Non-smooth Sparse Learning Problems UAI 2019 Fast-rate PAC-Bayes Generalization Bounds via Shifted Rademacher Processes NeurIPS 2019 Fast Rates for a kNN Classifier Robust to Unknown Asymmetric Label Noise ICML 2019 Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs AAAI 2019 Fast Sparse Group Lasso NeurIPS 2019 Fast Spatio-Temporal Residual Network for Video Super-Resolution CVPR 2019 Fast Stochastic Algorithms for Low-rank and Nonsmooth Matrix Problems AISTATS 2019 Fast structure learning with modular regularization NeurIPS 2019 Fault Tolerance in Iterative-Convergent Machine Learning ICML 2019 FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search CVPR 2019 Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data ICML 2019 Feature subset selection for the multinomial logit model via mixed-integer optimization AISTATS 2019 Feed-forward Propagation in Probabilistic Neural Networks with Categorical and Max Layers ICLR 2019 FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms ACL 2019 Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration CVPR 2019 FilterReg: Robust and Efficient Probabilistic Point-Set Registration Using Gaussian Filter and Twist Parameterization CVPR 2019 Finding All Bayesian Network Structures within a Factor of Optimal AAAI 2019 Finding Options that Minimize Planning Time ICML 2019 Finding Statistically Significant Interactions between Continuous Features IJCAI 2019 Finding the bandit in a graph: Sequential search-and-stop AISTATS 2019 Finding the Needle in the Haystack with Convolutions: on the benefits of architectural bias NeurIPS 2019 Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks ICML 2019 Fine-grained Optimization of Deep Neural Networks NeurIPS 2019 Fine-tune BERT with Sparse Self-Attention Mechanism EMNLP 2019