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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)

Cross-sectional Learning of Extremal Dependence among Financial Assets NeurIPS 2019 Cubic Regularization with Momentum for Nonconvex Optimization UAI 2019 Curious iLQR: Resolving Uncertainty in Model-based RL CoRL 2019 Curls & Whey: Boosting Black-Box Adversarial Attacks CVPR 2019 Curriculum Learning for Cumulative Return Maximization IJCAI 2019 Customizable Architecture Search for Semantic Segmentation CVPR 2019 Cutset Bayesian Networks: A New Representation for Learning Rao-Blackwellised Graphical Models IJCAI 2019 CXPlain: Causal Explanations for Model Interpretation under Uncertainty NeurIPS 2019 Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing NAACL 2019 DAG-GNN: DAG Structure Learning with Graph Neural Networks ICML 2019 DARTS: Differentiable Architecture Search ICLR 2019 Database Alignment with Gaussian Features AISTATS 2019 Data Cleansing for Models Trained with SGD NeurIPS 2019 Data-Dependence of Plateau Phenomenon in Learning with Neural Network --- Statistical Mechanical Analysis NeurIPS 2019 Data-dependent compression of random features for large-scale kernel approximation AISTATS 2019 Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds ICLR 2019 Data-dependent Sample Complexity of Deep Neural Networks via Lipschitz Augmentation NeurIPS 2019 DATA: Differentiable ArchiTecture Approximation NeurIPS 2019 Data-Driven Neuron Allocation for Scale Aggregation Networks CVPR 2019 Data Efficient Reinforcement Learning for Legged Robots CoRL 2019 Data-Free Quantization Through Weight Equalization and Bias Correction ICCV 2019 Dataplane equivalence and its applications NSDI 2019 Data Poisoning against Differentially-Private Learners: Attacks and Defenses IJCAI 2019 Daytime Sleepiness Level Prediction Using Respiratory Information IJCAI 2019 DBA: Dynamic Multi-Armed Bandit Algorithm AAAI 2019