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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)

A hybrid pipeline of rules and machine learning to filter web-crawled parallel corpora EMNLP 2018 A Knowledge Driven Structural Segmentation Approach for Play-Talk Classification During Autism Assessment Interspeech 2018 A Language Model based Evaluator for Sentence Compression ACL 2018 Algebraic tests of general Gaussian latent tree models NeurIPS 2018 Algorithmic Assurance: An Active Approach to Algorithmic Testing using Bayesian Optimisation NeurIPS 2018 Algorithmic Linearly Constrained Gaussian Processes NeurIPS 2018 Algorithmic Regularization in Learning Deep Homogeneous Models: Layers are Automatically Balanced NeurIPS 2018 Algorithmic Regularization in Over-parameterized Matrix Sensing and Neural Networks with Quadratic Activations COLT 2018 Algorithmic Social Intervention IJCAI 2018 Algorithms and Theory for Multiple-Source Adaptation NeurIPS 2018 Algorithms for the Nearest Assignment Problem IJCAI 2018 A Linear Speedup Analysis of Distributed Deep Learning with Sparse and Quantized Communication NeurIPS 2018 Almost Optimal Algorithms for Linear Stochastic Bandits with Heavy-Tailed Payoffs NeurIPS 2018 A loss framework for calibrated anomaly detection NeurIPS 2018 Alternating optimization of decision trees, with application to learning sparse oblique trees NeurIPS 2018 Alternating Randomized Block Coordinate Descent ICML 2018 AmbientGAN: Generative models from lossy measurements ICLR 2018 A Model for Learned Bloom Filters and Optimizing by Sandwiching NeurIPS 2018 Amortized Inference Regularization NeurIPS 2018 A Multistage Training Framework for Acoustic-to-Word Model Interspeech 2018 An ℓ_∞ Eigenvector Perturbation Bound and Its Application JMLR 2018 An Alternative View: When Does SGD Escape Local Minima? ICML 2018 Analysing the Focus of a Hierarchical Attention Network: the Importance of Enjambments When Classifying Post-modern Poetry Interspeech 2018 Analysis of Krylov Subspace Solutions of Regularized Non-Convex Quadratic Problems NeurIPS 2018 Analysis of Minimax Error Rate for Crowdsourcing and Its Application to Worker Clustering Model ICML 2018