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sparse learning

112 papers

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Co-occurring keywords

feature selection (649) convex optimization (1320) l1 regularization (87) stochastic optimization (1060) kernel methods (1096) bayesian inference (1904) group lasso (64) sparse regression (175) gradient descent (1143) sparse optimization (246)

Papers

Spike and slab variational Bayes for high dimensional logistic regression NIPS 2020
Information theoretic limits of learning a sparse rule NIPS 2020
A Knowledge Transfer Framework for Differentially Private Sparse Learning AAAI 2020
Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction JMLR 2019
Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and Python JMLR 2019
Combining Deep Learning and Qualitative Spatial Reasoning to Learn Complex Structures from Sparse Examples with Noise AAAI 2019
Group LASSO with Asymmetric Structure Estimation for Multi-Task Learning IJCAI 2019
Optimal Stochastic and Online Learning with Individual Iterates NIPS 2019
Adaptive Sparse Confidence-Weighted Learning for Online Feature Selection AAAI 2019
Distributed Inexact Newton-type Pursuit for Non-convex Sparse Learning AISTATS 2019
Efficiently Learning Fourier Sparse Set Functions NIPS 2019
Fast Proximal Gradient Descent for A Class of Non-convex and Non-smooth Sparse Learning Problems UAI 2019
Differentially Private Iterative Gradient Hard Thresholding for Sparse Learning IJCAI 2019
Neural Sparse Topical Coding ACL 2018
Simultaneous Clustering and Estimation of Heterogeneous Graphical Models JMLR 2018
Implicit Discourse Relation Recognition using Neural Tensor Network with Interactive Attention and Sparse Learning COLING 2018
Proximal SCOPE for Distributed Sparse Learning NIPS 2018
Faster Training Algorithms for Structured Sparsity-Inducing Norm IJCAI 2018
Stochastic Second-Order Method for Large-Scale Nonconvex Sparse Learning Models IJCAI 2018
Efficient online algorithms for fast-rate regret bounds under sparsity NIPS 2018
Sparse Learning in Gaussian Chain Graphs for State Space Models PGM 2018
Posterior Concentration for Sparse Deep Learning NIPS 2018
Parametric Simplex Method for Sparse Learning NIPS 2017
Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction ICML 2017
On The Projection Operator to A Three-view Cardinality Constrained Set ICML 2017