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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)

De-biasing Covariance-Regularized Discriminant Analysis IJCAI 2018 Debiasing Evidence Approximations: On Importance-weighted Autoencoders and Jackknife Variational Inference ICLR 2018 Debugging Sequence-to-Sequence Models with Seq2Seq-Vis EMNLP 2018 Decentralize and Randomize: Faster Algorithm for Wasserstein Barycenters NeurIPS 2018 Decipherment of Substitution Ciphers with Neural Language Models EMNLP 2018 Decision making with limited feedback ALT 2018 Decomposition of Uncertainty in Bayesian Deep Learning for Efficient and Risk-sensitive Learning ICML 2018 Deconstructing RDMA-enabled Distributed Transactions: Hybrid is Better! OSDI 2018 Decorrelated Batch Normalization CVPR 2018 Decoupled Parallel Backpropagation with Convergence Guarantee ICML 2018 Decoupling Gradient-Like Learning Rules from Representations ICML 2018 Deep Back-Projection Networks for Super-Resolution CVPR 2018 Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study EMNLP 2018 Deep Bayesian Nonparametric Tracking ICML 2018 Deepcode: Feedback Codes via Deep Learning NeurIPS 2018 Deep Convolutional Neural Networks with Merge-and-Run Mappings IJCAI 2018 Deep Density Destructors ICML 2018 Deep Dynamical Modeling and Control of Unsteady Fluid Flows NeurIPS 2018 Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training ICLR 2018 Deep Hashing via Discrepancy Minimization CVPR 2018 Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design ICLR 2018 Deep Learning as a Mixed Convex-Combinatorial Optimization Problem ICLR 2018 Deep Learning for Multi-Facility Location Mechanism Design IJCAI 2018 Deep Learning the Ising Model Near Criticality JMLR 2018 Deep Learning Under Privileged Information Using Heteroscedastic Dropout CVPR 2018