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Deep Lattice Networks and Partial Monotonic Functions

Deep Lattice Networks and Partial Monotonic Functions

19 September 2017
Seungil You
David Ding
K. Canini
Jan Pfeifer
Maya R. Gupta
ArXiv (abs)PDFHTML

Papers citing "Deep Lattice Networks and Partial Monotonic Functions"

19 / 69 papers shown
Title
Testing Monotonicity of Machine Learning Models
Testing Monotonicity of Machine Learning Models
Arnab Sharma
Heike Wehrheim
72
9
0
27 Feb 2020
Monotonic Cardinality Estimation of Similarity Selection: A Deep
  Learning Approach
Monotonic Cardinality Estimation of Similarity Selection: A Deep Learning Approach
Yaoshu Wang
Chuan Xiao
Jianbin Qin
Xin Cao
Yifang Sun
Wei Wang
Makoto Onizuka
58
25
0
15 Feb 2020
Improving Deep Learning For Airbnb Search
Improving Deep Learning For Airbnb Search
Malay Haldar
Mustafa Abdool
Prashant Ramanathan
Tyler Sax
Lanbo Zhang
Aamir Mansawala
Shulin Yang
B. Turnbull
Junshuo Liao
69
40
0
10 Feb 2020
Supervised Quantile Normalization for Low-rank Matrix Approximation
Supervised Quantile Normalization for Low-rank Matrix Approximation
Marco Cuturi
O. Teboul
Jonathan Niles-Weed
Jean-Philippe Vert
44
3
0
08 Feb 2020
Deep Learning Tubes for Tube MPC
Deep Learning Tubes for Tube MPC
David D. Fan
Ali-akbar Agha-mohammadi
Evangelos A. Theodorou
118
57
0
05 Feb 2020
Deontological Ethics By Monotonicity Shape Constraints
Deontological Ethics By Monotonicity Shape Constraints
S. Wang
Maya R. Gupta
69
21
0
31 Jan 2020
On Interpretability of Artificial Neural Networks: A Survey
On Interpretability of Artificial Neural Networks: A Survey
Fenglei Fan
Jinjun Xiong
Mengzhou Li
Ge Wang
AAMLAI4CE
94
317
0
08 Jan 2020
How to Incorporate Monotonicity in Deep Networks While Preserving
  Flexibility?
How to Incorporate Monotonicity in Deep Networks While Preserving Flexibility?
Akhil Gupta
Naman Shukla
Lavanya Marla
A. Kolbeinsson
Kartik Yellepeddi
65
41
0
24 Sep 2019
Predicting Consumer Default: A Deep Learning Approach
Predicting Consumer Default: A Deep Learning Approach
Stefania Albanesi
Domonkos F. Vamossy
FaML
48
60
0
30 Aug 2019
Unconstrained Monotonic Neural Networks
Unconstrained Monotonic Neural Networks
Antoine Wehenkel
Gilles Louppe
TPM
258
150
0
14 Aug 2019
Learning Policies through Quantile Regression
Learning Policies through Quantile Regression
Oliver Richter
Roger Wattenhofer
37
0
0
27 Jun 2019
Cost-Effective Incentive Allocation via Structured Counterfactual
  Inference
Cost-Effective Incentive Allocation via Structured Counterfactual Inference
Romain Lopez
Chenchen Li
X. Yan
Junwu Xiong
Michael I. Jordan
Yuan Qi
Le Song
OffRL
77
17
0
07 Feb 2019
Janossy Pooling: Learning Deep Permutation-Invariant Functions for
  Variable-Size Inputs
Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs
R. Murphy
Balasubramaniam Srinivasan
Vinayak A. Rao
Yun Liang
129
193
0
05 Nov 2018
Inferring Multidimensional Rates of Aging from Cross-Sectional Data
Inferring Multidimensional Rates of Aging from Cross-Sectional Data
Emma Pierson
Pang Wei Koh
Tatsunori Hashimoto
D. Koller
J. Leskovec
N. Eriksson
Percy Liang
70
10
0
12 Jul 2018
Interpretable Set Functions
Interpretable Set Functions
Andrew Cotter
Maya R. Gupta
Heinrich Jiang
J. Muller
Taman Narayan
S. Wang
Tao Zhu
85
7
0
31 May 2018
Prediction Rule Reshaping
Prediction Rule Reshaping
Matt Bonakdarpour
S. Chatterjee
Rina Foygel Barber
John D. Lafferty
AI4TS
62
8
0
16 May 2018
Monotonic models for real-time dynamic malware detection
Monotonic models for real-time dynamic malware detection
A. Chistyakov
E. Lobacheva
Alexander Shevelev
Alexey Romanenko
16
3
0
10 Apr 2018
Learning to Count Objects in Natural Images for Visual Question
  Answering
Learning to Count Objects in Natural Images for Visual Question Answering
Yan Zhang
Jonathon S. Hare
Adam Prugel-Bennett
OOD
85
208
0
15 Feb 2018
The Case for Learned Index Structures
The Case for Learned Index Structures
Tim Kraska
Alex Beutel
Ed H. Chi
J. Dean
N. Polyzotis
105
1,046
0
04 Dec 2017
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