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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)

PCC Vivace: Online-Learning Congestion Control NSDI 2018 PDE-Net: Learning PDEs from Data ICML 2018 Permuted and Augmented Stick-Breaking Bayesian Multinomial Regression JMLR 2018 PG-TS: Improved Thompson Sampling for Logistic Contextual Bandits NeurIPS 2018 Phase Retrieval Under a Generative Prior NeurIPS 2018 Phonological Posterior Hashing for Query by Example Spoken Term Detection Interspeech 2018 PiCANet: Learning Pixel-Wise Contextual Attention for Saliency Detection CVPR 2018 Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training NeurIPS 2018 PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos ICML 2018 Planning and Learning with Stochastic Action Sets IJCAI 2018 Plug-in Estimators for Conditional Expectations and Probabilities AISTATS 2018 Pocket: Elastic Ephemeral Storage for Serverless Analytics OSDI 2018 Policy-Conditioned Uncertainty Sets for Robust Markov Decision Processes NeurIPS 2018 Policy Gradient as a Proxy for Dynamic Oracles in Constituency Parsing ACL 2018 Policy Optimization as Wasserstein Gradient Flows ICML 2018 Policy Optimization with Second-Order Advantage Information IJCAI 2018 Policy Regret in Repeated Games NeurIPS 2018 Porcupine Neural Networks: Approximating Neural Network Landscapes NeurIPS 2018 Portable, layer-wise task performance monitoring for NLP models EMNLP 2018 pOSE: Pseudo Object Space Error for Initialization-Free Bundle Adjustment CVPR 2018 Posterior Concentration for Sparse Deep Learning NeurIPS 2018 Postfiltering with Complex Spectral Correlations for Speech and Audio Coding Interspeech 2018 Post Selection Inference with Kernels AISTATS 2018 Power-law Distribution Aware Trust Prediction IJCAI 2018 Power-law efficient neural codes provide general link between perceptual bias and discriminability NeurIPS 2018