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1709.06680
Cited By
Deep Lattice Networks and Partial Monotonic Functions
19 September 2017
Seungil You
David Ding
K. Canini
Jan Pfeifer
Maya R. Gupta
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Papers citing
"Deep Lattice Networks and Partial Monotonic Functions"
50 / 69 papers shown
Title
MERIT: A Merchant Incentive Ranking Model for Hotel Search & Ranking
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Hailong Tan
Shui Liu
Zhenzhe Zheng
Ruihao Zhu
Liangyue Li
Quan Lu
Fan Wu
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10 Jun 2025
Learning Monotonic Probabilities with a Generative Cost Model
Yongxiang Tang
Yanhua Cheng
Xiaocheng Liu
Chenchen Jiao
Yanxiang Zeng
Ning Luo
Pengjia Yuan
Xialong Liu
Peng Jiang
59
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0
04 Jun 2025
Advancing Constrained Monotonic Neural Networks: Achieving Universal Approximation Beyond Bounded Activations
Davide Sartor
Alberto Sinigaglia
Gian Antonio Susto
204
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0
05 May 2025
Constrained Machine Learning Through Hyperspherical Representation
Gaetano Signorelli
Michele Lombardi
66
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0
11 Apr 2025
MMCE: A Framework for Deep Monotonic Modeling of Multiple Causal Effects
Juhua Chen
Karson shi
Jialing He
North Chen
Kele Jiang
CML
70
0
0
02 Apr 2025
A Probabilistic Neuro-symbolic Layer for Algebraic Constraint Satisfaction
Leander Kurscheidt
Paolo Morettin
Roberto Sebastiani
Andrea Passerini
Antonio Vergari
162
1
0
25 Mar 2025
MCNet: Monotonic Calibration Networks for Expressive Uncertainty Calibration in Online Advertising
Quanyu Dai
Jiaren Xiao
Zhaocheng Du
Jieming Zhu
Chengxiao Luo
Xiao-Ming Wu
Zhenhua Dong
75
0
0
01 Mar 2025
MonoKAN: Certified Monotonic Kolmogorov-Arnold Network
Alejandro Polo-Molina
David Alfaya
José M. Portela
41
2
0
17 Sep 2024
Enhancing Monotonic Modeling with Spatio-Temporal Adaptive Awareness in Diverse Marketing
Bin Li
Jiayan Pei
Feiyang Xiao
Yifan Zhao
Zhixing Zhang
Diwei Liu
Hengxu He
Jia Jia
74
0
0
20 Jun 2024
A Mathematical Certification for Positivity Conditions in Neural Networks with Applications to Partial Monotonicity and Ethical AI
Alejandro Polo-Molina
David Alfaya
José M. Portela
45
1
0
12 Jun 2024
Deep neural networks for choice analysis: Enhancing behavioral regularity with gradient regularization
Siqi Feng
Rui Yao
Stephane Hess
Ricardo A. Daziano
Timothy Brathwaite
Joan Walker
Shenhao Wang
66
2
0
23 Apr 2024
Computing conservative probabilities of rare events with surrogates
Nicolas Bousquet
65
0
0
26 Mar 2024
Neural Clustering based Visual Representation Learning
Guikun Chen
Xia Li
Yi Yang
Wenguan Wang
SSL
97
9
0
26 Mar 2024
Can I Trust the Explanations? Investigating Explainable Machine Learning Methods for Monotonic Models
Dangxing Chen
FAtt
LRM
40
1
0
23 Sep 2023
Variational Label-Correlation Enhancement for Congestion Prediction
Biao Liu
Congyu Qiao
Ning Xu
Xin Geng
Ziran Zhu
Jun Yang
333
2
0
01 Aug 2023
Expressive Monotonic Neural Networks
O. Kitouni
Niklas Nolte
Mike Williams
35
7
0
14 Jul 2023
Smooth Min-Max Monotonic Networks
Christian Igel
36
1
0
01 Jun 2023
Semantic-aware Transmission Scheduling: a Monotonicity-driven Deep Reinforcement Learning Approach
Jiazhen Chen
Wanchun Liu
Daniel E. Quevedo
Yonghui Li
Branka Vucetic
75
3
0
23 May 2023
Smoothness and monotonicity constraints for neural networks using ICEnet
Ronald Richman
M. Wüthrich
11
3
0
15 May 2023
How to address monotonicity for model risk management?
Dangxing Chen
Weicheng Ye
36
6
0
28 Apr 2023
An interpretable neural network-based non-proportional odds model for ordinal regression
Akifumi Okuno
Kazuharu Harada
52
1
0
31 Mar 2023
DeepSaDe: Learning Neural Networks that Guarantee Domain Constraint Satisfaction
Kshitij Goyal
Sebastijan Dumancic
Hendrik Blockeel
70
2
0
02 Mar 2023
Learned Accelerator Framework for Angular-Distance-Based High-Dimensional DBSCAN
Yifan Wang
D. Wang
41
1
0
06 Feb 2023
Contrastive Learning with Consistent Representations
Zihu Wang
Yu Wang
Hanbin Hu
Peng Li
CLL
87
5
0
03 Feb 2023
Monotonicity for AI ethics and society: An empirical study of the monotonic neural additive model in criminology, education, health care, and finance
Dangxing Chen
Luyao Zhang
SyDa
54
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0
17 Jan 2023
Feature Necessity & Relevancy in ML Classifier Explanations
Xuanxiang Huang
Martin C. Cooper
António Morgado
Jordi Planes
Sasha Rubin
FAtt
69
19
0
27 Oct 2022
Private Isotonic Regression
Badih Ghazi
Pritish Kamath
Ravi Kumar
Pasin Manurangsi
44
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27 Oct 2022
Logic-Based Explainability in Machine Learning
Sasha Rubin
LRM
XAI
126
40
0
24 Oct 2022
XClusters: Explainability-first Clustering
Hyunseung Hwang
Steven Euijong Whang
52
5
0
22 Sep 2022
Monotonic Neural Additive Models: Pursuing Regulated Machine Learning Models for Credit Scoring
Dangxing Chen
Weicheng Ye
FaML
70
14
0
21 Sep 2022
Visual Recognition with Deep Nearest Centroids
Wenguan Wang
Cheng Han
Tianfei Zhou
Dongfang Liu
127
94
0
15 Sep 2022
ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition
Mengqi Xue
Qihan Huang
Haofei Zhang
Lechao Cheng
Mingli Song
Ming-hui Wu
Mingli Song
ViT
107
55
0
22 Aug 2022
Constrained Monotonic Neural Networks
D. Runje
Sharath M. Shankaranarayana
51
20
0
24 May 2022
Monotonicity Regularization: Improved Penalties and Novel Applications to Disentangled Representation Learning and Robust Classification
João Monteiro
Mohamed Osama Ahmed
Hossein Hajimirsadeghi
Greg Mori
38
7
0
17 May 2022
Global Optimization Networks
Sen Zhao
Erez Louidor Ilan
Oleksandr Mangylov
Maya R. Gupta
111
6
0
02 Feb 2022
Deep Non-Crossing Quantiles through the Partial Derivative
Axel Brando
J. Gimeno
Jose A. Rodríguez-Serrano
Jordi Vitrià
144
13
0
30 Jan 2022
Robust and Provably Monotonic Networks
O. Kitouni
Niklas Nolte
Mike Williams
38
10
0
30 Nov 2021
Matching Learned Causal Effects of Neural Networks with Domain Priors
Sai Srinivas Kancheti
Abbavaram Gowtham Reddy
V. Balasubramanian
Amit Sharma
CML
89
13
0
24 Nov 2021
A framework for massive scale personalized promotion
Yitao Shen
Yue Wang
Xingyu Lu
Feng Qi
Jia Yan
Yixiang Mu
Yao Yang
YiFan Peng
Jinjie Gu
109
3
0
27 Aug 2021
Explanations for Monotonic Classifiers
Sasha Rubin
Thomas Gerspacher
M. Cooper
Alexey Ignatiev
Nina Narodytska
FAtt
93
46
0
01 Jun 2021
Regularization Strategies for Quantile Regression
Taman Narayan
S. Wang
K. Canini
Maya R. Gupta
41
0
0
09 Feb 2021
Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising
Zhilin Zhang
Xiangyu Liu
Zhenzhe Zheng
Chenrui Zhang
Miao Xu
Junwei Pan
Chuan Yu
Fan Wu
Jian Xu
Kun Gai
30
36
0
05 Dec 2020
Certified Monotonic Neural Networks
Xingchao Liu
Xing Han
Na Zhang
Qiang Liu
74
82
0
20 Nov 2020
Advances in the training, pruning and enforcement of shape constraints of Morphological Neural Networks using Tropical Algebra
Nikolaos Dimitriadis
Petros Maragos
102
9
0
15 Nov 2020
A Comprehensive Survey on Word Representation Models: From Classical to State-Of-The-Art Word Representation Language Models
Usman Naseem
Imran Razzak
S. Khan
M. Prasad
86
160
0
28 Oct 2020
Incorporating Interpretable Output Constraints in Bayesian Neural Networks
Wanqian Yang
Lars Lorch
Moritz Graule
Himabindu Lakkaraju
Finale Doshi-Velez
UQCV
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68
17
0
21 Oct 2020
Counterexample-Guided Learning of Monotonic Neural Networks
Aishwarya Sivaraman
G. Farnadi
T. Millstein
Guy Van den Broeck
57
53
0
16 Jun 2020
Learning Monotone Dynamics by Neural Networks
Yu Wang
Qitong Gao
Miroslav Pajic
13
1
0
11 Jun 2020
Consistent and Flexible Selectivity Estimation for High-Dimensional Data
Yaoshu Wang
Chuan Xiao
Jianbin Qin
Rui Mao
Onizuka Makoto
Wei Wang
Rui Zhang
Yoshiharu Ishikawa
52
14
0
20 May 2020
Benchmark Performance of Machine And Deep Learning Based Methodologies for Urdu Text Document Classification
Muhammad Nabeel Asim
M. Ghani
Muhammad Ali Ibrahim
Sheraz Ahmed
Waqar Mahmood
Andreas Dengel
37
19
0
03 Mar 2020
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