How to Incorporate Monotonicity in Deep Networks While Preserving
Flexibility?

v1v2v3 (latest)

How to Incorporate Monotonicity in Deep Networks While Preserving Flexibility?

24 September 2019

Kartik Yellepeddi

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Papers citing "How to Incorporate Monotonicity in Deep Networks While Preserving Flexibility?"

12 / 12 papers shown

Title
MERIT: A Merchant Incentive Ranking Model for Hotel Search & Ranking Shigang Quan Hailong Tan Shui Liu Zhenzhe Zheng Ruihao Zhu Liangyue Li Quan Lu Fan Wu 18 0 0 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 46 0 0 04 Jun 2025
Advancing Constrained Monotonic Neural Networks: Achieving Universal Approximation Beyond Bounded Activations Davide Sartor Alberto Sinigaglia Gian Antonio Susto 204 0 0 05 May 2025
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
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
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
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
Negotiating Networks in Oligopoly Markets for Price-Sensitive Products Naman Shukla Kartik Yellepeddi 45 0 0 25 Oct 2021
Information-geometry of physics-informed statistical manifolds and its use in data assimilation F. Boso D. Tartakovsky AI4CE 70 8 0 01 Mar 2021
Counterexample-Guided Learning of Monotonic Neural Networks Aishwarya Sivaraman G. Farnadi T. Millstein Guy Van den Broeck 57 53 0 16 Jun 2020
Predicting Consumer Default: A Deep Learning Approach Stefania Albanesi Domonkos F. Vamossy FaML 46 60 0 30 Aug 2019