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Optimal Algorithms for Ridge and Lasso Regression with Partially
  Observed Attributes
v1v2 (latest)

Optimal Algorithms for Ridge and Lasso Regression with Partially Observed Attributes

23 August 2011
Elad Hazan
Tomer Koren
ArXiv (abs)PDFHTML

Papers citing "Optimal Algorithms for Ridge and Lasso Regression with Partially Observed Attributes"

16 / 16 papers shown
Title
Online Learning with Costly Features in Non-stationary Environments
Online Learning with Costly Features in Non-stationary Environments
Saeed Ghoorchian
E. Kortukov
S. Maghsudi
OffRL
65
1
0
18 Jul 2023
Stochastic Online Instrumental Variable Regression: Regrets for
  Endogeneity and Bandit Feedback
Stochastic Online Instrumental Variable Regression: Regrets for Endogeneity and Bandit Feedback
R. D. Vecchia
D. Basu
77
6
0
18 Feb 2023
Improved machine learning algorithm for predicting ground state
  properties
Improved machine learning algorithm for predicting ground state properties
Laura Lewis
Hsin-Yuan Huang
Viet-Trung Tran
Sebastian Lehner
R. Kueng
J. Preskill
AI4CE
82
48
0
30 Jan 2023
Quantum Algorithms and Lower Bounds for Linear Regression with Norm
  Constraints
Quantum Algorithms and Lower Bounds for Linear Regression with Norm Constraints
Yanlin Chen
Ronald de Wolf
170
16
0
25 Oct 2021
Active Structure Learning of Bayesian Networks in an Observational
  Setting
Active Structure Learning of Bayesian Networks in an Observational Setting
Noa Ben-David
Sivan Sabato
33
4
0
25 Mar 2021
On-Device Machine Learning: An Algorithms and Learning Theory
  Perspective
On-Device Machine Learning: An Algorithms and Learning Theory Perspective
Sauptik Dhar
Junyao Guo
Jiayi Liu
S. Tripathi
Unmesh Kurup
Mohak Shah
111
144
0
02 Nov 2019
Autoregressive-Model-Based Methods for Online Time Series Prediction
  with Missing Values: an Experimental Evaluation
Autoregressive-Model-Based Methods for Online Time Series Prediction with Missing Values: an Experimental Evaluation
Xi Chen
Hongzhi Wang
Yanjie Wei
Jianzhong Li
Hong Gao
33
3
0
10 Aug 2019
Sample Efficient Stochastic Gradient Iterative Hard Thresholding Method
  for Stochastic Sparse Linear Regression with Limited Attribute Observation
Sample Efficient Stochastic Gradient Iterative Hard Thresholding Method for Stochastic Sparse Linear Regression with Limited Attribute Observation
Tomoya Murata
Taiji Suzuki
59
9
0
05 Sep 2018
Adaptive Feature Selection: Computationally Efficient Online Sparse
  Linear Regression under RIP
Adaptive Feature Selection: Computationally Efficient Online Sparse Linear Regression under RIP
Satyen Kale
Zohar Karnin
Tengyuan Liang
D. Pál
62
23
0
14 Jun 2017
Online to Offline Conversions, Universality and Adaptive Minibatch Sizes
Online to Offline Conversions, Universality and Adaptive Minibatch Sizes
Kfir Y. Levy
ODL
105
59
0
30 May 2017
Coupled Compound Poisson Factorization
Coupled Compound Poisson Factorization
M. Basbug
Barbara E. Engelhardt
46
7
0
09 Jan 2017
Learning Infinite-Layer Networks: Without the Kernel Trick
Learning Infinite-Layer Networks: Without the Kernel Trick
Roi Livni
Daniel Carmon
Amir Globerson
58
7
0
16 Jun 2016
Online Sparse Linear Regression
Online Sparse Linear Regression
Dean Phillips Foster
Satyen Kale
H. Karloff
74
18
0
07 Mar 2016
Data-Driven Online Decision Making with Costly Information Acquisition
Data-Driven Online Decision Making with Costly Information Acquisition
Onur Atan
M. Schaar
48
1
0
11 Feb 2016
Classification with Low Rank and Missing Data
Classification with Low Rank and Missing Data
Elad Hazan
Roi Livni
Yishay Mansour
80
38
0
14 Jan 2015
An Equivalence between the Lasso and Support Vector Machines
An Equivalence between the Lasso and Support Vector Machines
Martin Jaggi
105
52
0
05 Mar 2013
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