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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)

Predicting the Generalization Gap in Deep Networks with Margin Distributions ICLR 2019 Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival Analysis on Mobility Data AAAI 2019 Prediction of Spatial Point Processes: Regularized Method with Out-of-Sample Guarantees NeurIPS 2019 Prediction Risk for the Horseshoe Regression JMLR 2019 Predict+Optimise with Ranking Objectives: Exhaustively Learning Linear Functions IJCAI 2019 Predictor-Corrector Policy Optimization ICML 2019 Preference-Based Batch and Sequential Teaching: Towards a Unified View of Models NeurIPS 2019 Preferences Implicit in the State of the World ICLR 2019 Preferred Deals in General Environments IJCAI 2019 Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks NeurIPS 2019 Primal-Dual Block Generalized Frank-Wolfe NeurIPS 2019 Principal Component Analysis in the Local Differential Privacy Model IJCAI 2019 Principal Component Projection and Regression in Nearly Linear Time through Asymmetric SVRG NeurIPS 2019 Prior Convictions: Black-box Adversarial Attacks with Bandits and Priors ICLR 2019 Privacy Amplification by Mixing and Diffusion Mechanisms NeurIPS 2019 Privacy-Preserving Variational Information Feature Extraction for Domestic Activity Monitoring versus Speaker Identification Interspeech 2019 Private Center Points and Learning of Halfspaces COLT 2019 Private Hypothesis Selection NeurIPS 2019 Private Learning Implies Online Learning: An Efficient Reduction NeurIPS 2019 Private Stochastic Convex Optimization with Optimal Rates NeurIPS 2019 Probabilistic End-To-End Noise Correction for Learning With Noisy Labels CVPR 2019 Probabilistic Forecasting with Spline Quantile Function RNNs AISTATS 2019 Probabilistic-Logic Bots for Efficient Evaluation of Business Rules Using Conversational Interfaces AAAI 2019 Probabilistic Logic Neural Networks for Reasoning NeurIPS 2019 Probabilistic Logic Programming with Beta-Distributed Random Variables AAAI 2019