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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)

INSPECTRE: Privately Estimating the Unseen ICML 2018 Instance-Specific Bayesian Network Structure Learning PGM 2018 Instance Weighting with Applications to Cross-domain Text Classification via Trading off Sample Selection Bias and Variance IJCAI 2018 Instrument-Armed Bandits ALT 2018 Integral Transforms from Finite Data: An Application of Gaussian Process Regression to Fourier Analysis AISTATS 2018 Integrating Hypertension Phenotype and Genotype with Hybrid Non-negative Matrix Factorization MLHC 2018 Integrating Machine Learning and Optimization Methods for Imaging of Patients with Prostate Cancer MLHC 2018 Integrating Neural Network Based Beamforming and Weighted Prediction Error Dereverberation Interspeech 2018 Interactive Algorithms: Pool, Stream and Precognitive Stream JMLR 2018 Interactive Learning and Decision Making: Foundations, Insights & Challenges IJCAI 2018 Interactive Optimal Teaching with Unknown Learners IJCAI 2018 Interactive Robot Transition Repair With SMT IJCAI 2018 Interleaved Structured Sparse Convolutional Neural Networks CVPR 2018 Interpretable Convolutional Neural Networks CVPR 2018 Interpretable Textual Neuron Representations for NLP EMNLP 2018 Interpretable Word Embedding Contextualization EMNLP 2018 Interpreting Neural Network Hate Speech Classifiers EMNLP 2018 Introspection for convolutional automatic speech recognition EMNLP 2018 Invariance of Weight Distributions in Rectified MLPs ICML 2018 Inverse Composition Discriminative Optimization for Point Cloud Registration CVPR 2018 Invertibility of Convolutional Generative Networks from Partial Measurements NeurIPS 2018 Investigating Capsule Networks with Dynamic Routing for Text Classification EMNLP 2018 Investigations on Data Augmentation and Loss Functions for Deep Learning Based Speech-Background Separation Interspeech 2018 Is ATIS Too Shallow to Go Deeper for Benchmarking Spoken Language Understanding Models? Interspeech 2018 Is Generator Conditioning Causally Related to GAN Performance? ICML 2018