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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)

ICE-BA: Incremental, Consistent and Efficient Bundle Adjustment for Visual-Inertial SLAM CVPR 2018 Identification and Estimation of Causal Effects from Dependent Data NeurIPS 2018 IHT dies hard: Provable accelerated Iterative Hard Thresholding AISTATS 2018 Image Correction via Deep Reciprocating HDR Transformation CVPR 2018 IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures ICML 2018 Implicational Universals in Stochastic Constraint-Based Phonology EMNLP 2018 Implicit Bias of Gradient Descent on Linear Convolutional Networks NeurIPS 2018 Implicit Causal Models for Genome-wide Association Studies ICLR 2018 Implicit Probabilistic Integrators for ODEs NeurIPS 2018 Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval and Matrix Completion ICML 2018 Implicit Reparameterization Gradients NeurIPS 2018 Importance Sampling for Fair Policy Selection IJCAI 2018 Importance Sampling for Minibatches JMLR 2018 Importance Weighting and Variational Inference NeurIPS 2018 Improved Algorithms for Collaborative PAC Learning NeurIPS 2018 Improved Asynchronous Parallel Optimization Analysis for Stochastic Incremental Methods JMLR 2018 Improved large-scale graph learning through ridge spectral sparsification ICML 2018 Improved Regret Bounds for Thompson Sampling in Linear Quadratic Control Problems ICML 2018 Improving Beam Search by Removing Monotonic Constraint for Neural Machine Translation ACL 2018 Improving Classification of Twitter Behavior During Hurricane Events ACL 2018 Improving CTC-based Acoustic Model with Very Deep Residual Time-delay Neural Networks Interspeech 2018 Improving Deep Neural Network Sparsity through Decorrelation Regularization IJCAI 2018 Improving Explorability in Variational Inference with Annealed Variational Objectives NeurIPS 2018 Improving GANs Using Optimal Transport ICLR 2018 Improving GAN Training via Binarized Representation Entropy (BRE) Regularization ICLR 2018