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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)

Gaussian Process Neural Networks for Speech Recognition Interspeech 2018 Generalisation in humans and deep neural networks NeurIPS 2018 Generalisation of structural knowledge in the hippocampal-entorhinal system NeurIPS 2018 Generalization-Aware Structured Regression towards Balancing Bias and Variance IJCAI 2018 Generalization Bounds for Regularized Pairwise Learning IJCAI 2018 Generalization Bounds for Uniformly Stable Algorithms NeurIPS 2018 Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints COLT 2018 Generalization without Systematicity: On the Compositional Skills of Sequence-to-Sequence Recurrent Networks ICML 2018 Generalized chart constraints for efficient PCFG and TAG parsing ACL 2018 Generalized Concomitant Multi-Task Lasso for Sparse Multimodal Regression AISTATS 2018 Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels NeurIPS 2018 Generalized Inverse Optimization through Online Learning NeurIPS 2018 Generalized Rank-Breaking: Computational and Statistical Tradeoffs JMLR 2018 Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression ICML 2018 Generalizing Hamiltonian Monte Carlo with Neural Networks ICLR 2018 Generating More Interesting Responses in Neural Conversation Models with Distributional Constraints EMNLP 2018 Generating Reasonable and Diversified Story Ending Using Sequence to Sequence Model with Adversarial Training COLING 2018 Generative Bridging Network for Neural Sequence Prediction NAACL 2018 Gen-Oja: Simple & Efficient Algorithm for Streaming Generalized Eigenvector Computation NeurIPS 2018 Geometrically Coupled Monte Carlo Sampling NeurIPS 2018 Geometric Enclosing Networks IJCAI 2018 Geometric Lower Bounds for Distributed Parameter Estimation under Communication Constraints COLT 2018 GIANT: Globally Improved Approximate Newton Method for Distributed Optimization NeurIPS 2018 GILBO: One Metric to Measure Them All NeurIPS 2018 Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization NeurIPS 2018