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Estimating Stochastic Linear Combination of Non-linear Regressions
  Efficiently and Scalably

Estimating Stochastic Linear Combination of Non-linear Regressions Efficiently and Scalably

19 October 2020
Di Wang
Xiangyu Guo
Chaowen Guan
Shi Li
Jinhui Xu
ArXivPDFHTML

Papers citing "Estimating Stochastic Linear Combination of Non-linear Regressions Efficiently and Scalably"

5 / 5 papers shown
Title
High-dimensional Index Volatility Models via Stein's Identity
High-dimensional Index Volatility Models via Stein's Identity
Sen Na
Mladen Kolar
11
12
0
27 Nov 2018
Stochastic Gradient Descent Optimizes Over-parameterized Deep ReLU
  Networks
Stochastic Gradient Descent Optimizes Over-parameterized Deep ReLU Networks
Difan Zou
Yuan Cao
Dongruo Zhou
Quanquan Gu
ODL
88
448
0
21 Nov 2018
Large Scale Constrained Linear Regression Revisited: Faster Algorithms
  via Preconditioning
Large Scale Constrained Linear Regression Revisited: Faster Algorithms via Preconditioning
Di Wang
Jinhui Xu
16
5
0
09 Feb 2018
Stein Variational Gradient Descent: A General Purpose Bayesian Inference
  Algorithm
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm
Qiang Liu
Dilin Wang
BDL
39
1,082
0
16 Aug 2016
Efficient Learning of Generalized Linear and Single Index Models with
  Isotonic Regression
Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression
Sham Kakade
Adam Tauman Kalai
Varun Kanade
Ohad Shamir
81
180
0
11 Apr 2011
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