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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 Practical Algorithm for Distributed Clustering and Outlier Detection NeurIPS 2018 A Primal-Dual Analysis of Global Optimality in Nonconvex Low-Rank Matrix Recovery ICML 2018 A Priori SNR Estimation Based on a Recurrent Neural Network for Robust Speech Enhancement Interspeech 2018 A Prior-Less Method for Multi-Face Tracking in Unconstrained Videos CVPR 2018 A Probabilistic Model for Joint Learning of Word Embeddings from Texts and Images EMNLP 2018 A probabilistic population code based on neural samples NeurIPS 2018 A Probabilistic Theory of Supervised Similarity Learning for Pointwise ROC Curve Optimization ICML 2018 A Probability Weighted Beamformer for Noise Robust ASR Interspeech 2018 A Progressive Batching L-BFGS Method for Machine Learning ICML 2018 A Property Testing Framework for the Theoretical Expressivity of Graph Kernels IJCAI 2018 A Prospective-Performance Network to Alleviate Myopia in Beam Search for Response Generation COLING 2018 A Random Matrix Analysis and Improvement of Semi-Supervised Learning for Large Dimensional Data JMLR 2018 A Reduction for Efficient LDA Topic Reconstruction NeurIPS 2018 A Reductions Approach to Fair Classification ICML 2018 Are GANs Created Equal? A Large-Scale Study NeurIPS 2018 A Reinforced Topic-Aware Convolutional Sequence-to-Sequence Model for Abstractive Text Summarization IJCAI 2018 Are ResNets Provably Better than Linear Predictors? NeurIPS 2018 A Robust Approach to Sequential Information Theoretic Planning ICML 2018 A Robust Learning Approach for Regression Models Based on Distributionally Robust Optimization JMLR 2018 ASAP: Fast, Approximate Graph Pattern Mining at Scale OSDI 2018 A Scalable Heterogeneous Parallel SOM Based on MPI/CUDA ACML 2018 A Scalable Laplace Approximation for Neural Networks ICLR 2018 ASe: Acoustic Scene Embedding Using Deep Archetypal Analysis and GMM Interspeech 2018 A Simple Proximal Stochastic Gradient Method for Nonsmooth Nonconvex Optimization NeurIPS 2018 A Simple Stochastic Variance Reduced Algorithm with Fast Convergence Rates ICML 2018