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

Greedy and IHT Algorithms for Non-convex Optimization with Monotone Costs of Non-zeros AISTATS 2019 Greedy Layerwise Learning Can Scale To ImageNet ICML 2019 Greedy Maximization of Functions with Bounded Curvature under Partition Matroid Constraints AAAI 2019 Greedy Sampling for Approximate Clustering in the Presence of Outliers NeurIPS 2019 Group Invariance, Stability to Deformations, and Complexity of Deep Convolutional Representations JMLR 2019 G-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space ICLR 2019 Guaranteed Matrix Completion Under Multiple Linear Transformations CVPR 2019 Guaranteed Scalable Learning of Latent Tree Models UAI 2019 Guarantees for Sound Abstractions for Generalized Planning IJCAI 2019 Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial Attacks ICCV 2019 Guided Dropout AAAI 2019 Guided evolutionary strategies: augmenting random search with surrogate gradients ICML 2019 Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication AISTATS 2019 HAD-Tübingen at SemEval-2019 Task 6: Deep Learning Analysis of Offensive Language on Twitter: Identification and Categorization SemEval 2019 Hamiltonian descent for composite objectives NeurIPS 2019 Hamiltonian Monte Carlo with Energy Conserving Subsampling JMLR 2019 Hardness of Improper One-Sided Learning of Conjunctions For All Uniformly Falsifiable CSPs ALT 2019 Harmonic Beamformers for Non-Intrusive Speech Intelligibility Prediction Interspeech 2019 Harmonizable mixture kernels with variational Fourier features AISTATS 2019 Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation ICLR 2019 h-detach: Modifying the LSTM Gradient Towards Better Optimization ICLR 2019 HDI-Forest: Highest Density Interval Regression Forest IJCAI 2019 Heavy-ball Algorithms Always Escape Saddle Points IJCAI 2019 Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness IJCAI 2019 Heterogeneous Model Reuse via Optimizing Multiparty Multiclass Margin ICML 2019