BibSLEIGH corpus
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Open Knowledge
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Used together with:
group (9)
effici (4)
algorithm (4)
learn (4)
model (4)

Stem lasso$ (all stems)

29 papers:

Mind the duality gap: safer rules for the Lasso (OF, AG, JS), pp. 333–342.
KDDKDD-2015-HallacLB #clustering #graph #network #optimisation #scalability
Network Lasso: Clustering and Optimization in Large Graphs (DH, JL, SB), pp. 387–396.
KDDKDD-2015-XuSB #learning #predict
Longitudinal LASSO: Jointly Learning Features and Temporal Contingency for Outcome Prediction (TX, JS, JB), pp. 1345–1354.
KDDKDD-2015-YangSJWDY #learning #visual notation
Structural Graphical Lasso for Learning Mouse Brain Connectivity (SY, QS, SJ, PW, ID, JY), pp. 1385–1394.
Safe Screening with Variational Inequalities and Its Application to Lasso (JL, ZZ, JW, JY), pp. 289–297.
ICMLICML-c2-2014-YanLXH #predict
Coupled Group Lasso for Web-Scale CTR Prediction in Display Advertising (LY, WJL, GRX, DH), pp. 802–810.
KDDKDD-2014-LiuWY #algorithm #performance
An efficient algorithm for weak hierarchical lasso (YL, JW, JY), pp. 283–292.
VMCAIVMCAI-2014-LeikeT #polynomial #source code #synthesis
Synthesis for Polynomial Lasso Programs (JL, AT), pp. 434–452.
ICMLICML-c3-2013-HomrighausenM #persistent
The lasso, persistence, and cross-validation (DH, DJM), pp. 1031–1039.
The Bigraphical Lasso (AAK, JDL, NDL, SZ), pp. 1229–1237.
ICMLICML-c3-2013-YangX #algorithm #robust
A Unified Robust Regression Model for Lasso-like Algorithms (WY, HX), pp. 585–593.
ICMLICML-2012-LozanoS #multi
Multi-level Lasso for Sparse Multi-task Regression (ACL, GS), p. 80.
ICMLICML-2012-MairalY #analysis #complexity
Complexity Analysis of the Lasso Regularization Path (JM, BY), p. 238.
ICMLICML-2012-VogtR #analysis
A Complete Analysis of the l_1, p Group-Lasso (JEV, VR), p. 143.
KDDKDD-2012-ZhouLNY #modelling
Modeling disease progression via fused sparse group lasso (JZ, JL, VAN, JY), pp. 1095–1103.
CASECASE-2011-PampuriSFN #multi
Multilevel Lasso applied to Virtual Metrology in semiconductor manufacturing (SP, AS, GF, GDN), pp. 244–249.
ICEISICEIS-v2-2011-JiananDF #summary
Summary of LASSO and Relative Methods (XJ, SD, XF), pp. 131–134.
ICMLICML-2011-GhavamzadehLMH #analysis
Finite-Sample Analysis of Lasso-TD (MG, AL, RM, MWH), pp. 1177–1184.
LATALATA-2010-Ehlers #automaton
Short Witnesses and Accepting Lassos in ω-Automata (RE), pp. 261–272.
ICMLICML-2010-KimX #multi
Tree-Guided Group Lasso for Multi-Task Regression with Structured Sparsity (SK, EPX), pp. 543–550.
ICMLICML-2010-XuJYKL #kernel #learning #multi #performance
Simple and Efficient Multiple Kernel Learning by Group Lasso (ZX, RJ, HY, IK, MRL), pp. 1175–1182.
ICMLICML-2010-YangXKL #learning #online
Online Learning for Group Lasso (HY, ZX, IK, MRL), pp. 1191–1198.
KDDKDD-2010-LiuYY #algorithm #performance #problem
An efficient algorithm for a class of fused lasso problems (JL, LY, JY), pp. 323–332.
ICMLICML-2009-JacobOV #graph
Group lasso with overlap and graph lasso (LJ, GO, JPV), pp. 433–440.
ICMLICML-2009-LiuPZ #coordination #multi #semantics
Blockwise coordinate descent procedures for the multi-task lasso, with applications to neural semantic basis discovery (HL, MP, JZ), pp. 649–656.
The Bayesian group-Lasso for analyzing contingency tables (SR, TJF, PJW, ED, VR), pp. 881–888.
ICMLICML-2008-Bach08a #consistency #estimation #named
Bolasso: model consistent Lasso estimation through the bootstrap (FRB), pp. 33–40.
ICMLICML-2008-RothF #algorithm #linear #modelling #performance
The Group-Lasso for generalized linear models: uniqueness of solutions and efficient algorithms (VR, BF), pp. 848–855.
ICMLICML-2004-KimK #feature model
Gradient LASSO for feature selection (YK, JK).

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.