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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

1
52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Improving Neural Language Models with Weight Norm Initialization and Regularization EMNLP 2018 Improving Optimization for Models With Continuous Symmetry Breaking ICML 2018 Improving Regression Performance with Distributional Losses ICML 2018 Improving Text-to-SQL Evaluation Methodology ACL 2018 Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising ICML 2018 Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect ICLR 2018 Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms ICML 2018 Including Uncertainty when Learning from Human Corrections CoRL 2018 Incorporating Deep Visual Features into Multiobjective based Multi-view Search Results Clustering COLING 2018 Incremental Computation of Infix Probabilities for Probabilistic Finite Automata EMNLP 2018 Independently Recurrent Neural Network (IndRNN): Building a Longer and Deeper RNN CVPR 2018 Inexact trust-region algorithms on Riemannian manifolds NeurIPS 2018 Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing NeurIPS 2018 Inference in Deep Gaussian Processes using Stochastic Gradient Hamiltonian Monte Carlo NeurIPS 2018 Inference in Higher Order MRF-MAP Problems With Small and Large Cliques CVPR 2018 Inference in Sparse Graphs with Pairwise Measurements and Side Information AISTATS 2018 Inference via Low-Dimensional Couplings JMLR 2018 Infinite-Horizon Gaussian Processes NeurIPS 2018 Information-based Adaptive Stimulus Selection to Optimize Communication Efficiency in Brain-Computer Interfaces NeurIPS 2018 Information Constraints on Auto-Encoding Variational Bayes NeurIPS 2018 Information Directed Sampling and Bandits with Heteroscedastic Noise COLT 2018 Information Theoretic Guarantees for Empirical Risk Minimization with Applications to Model Selection and Large-Scale Optimization ICML 2018 Information-theoretic Limits for Community Detection in Network Models NeurIPS 2018 Informative Features for Model Comparison NeurIPS 2018 INITIATOR: Noise-contrastive Estimation for Marked Temporal Point Process IJCAI 2018