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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)

Revealing the Dark Secrets of BERT EMNLP 2019 Reversible Jump Probabilistic Programming AISTATS 2019 Revisit Batch Normalization: New Understanding and Refinement via Composition Optimization AISTATS 2019 Revisiting Adversarial Risk AISTATS 2019 Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function AAAI 2019 Revisiting precision recall definition for generative modeling ICML 2019 Revisiting Projection-Free Optimization for Strongly Convex Constraint Sets AAAI 2019 Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction AAAI 2019 Revisiting the Evaluation of Theory of Mind through Question Answering EMNLP 2019 Revisiting the Softmax Bellman Operator: New Benefits and New Perspective ICML 2019 Reward Constrained Policy Optimization ICLR 2019 ReWE: Regressing Word Embeddings for Regularization of Neural Machine Translation Systems NAACL 2019 Riemannian Adaptive Optimization Methods ICLR 2019 Riemannian adaptive stochastic gradient algorithms on matrix manifolds ICML 2019 Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling NAACL 2019 Risk-Averse Stochastic Convex Bandit AISTATS 2019 RNN Architecture Learning with Sparse Regularization EMNLP 2019 Robust and Communication-Efficient Collaborative Learning NeurIPS 2019 Robust Attribution Regularization NeurIPS 2019 Robust Bayesian and Light Neural Networks for Voice Spoofing Detection Interspeech 2019 Robust Bi-Tempered Logistic Loss Based on Bregman Divergences NeurIPS 2019 Robust descent using smoothed multiplicative noise AISTATS 2019 Robust Estimation of Tree Structured Gaussian Graphical Models ICML 2019 ROBUST ESTIMATION VIA GENERATIVE ADVERSARIAL NETWORKS ICLR 2019 Robust Facial Landmark Detection via Occlusion-Adaptive Deep Networks CVPR 2019