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CatBoost: gradient boosting with categorical features support

CatBoost: gradient boosting with categorical features support

24 October 2018
Anna Veronika Dorogush
Vasily Ershov
Andrey Gulin
ArXiv (abs)PDFHTML

Papers citing "CatBoost: gradient boosting with categorical features support"

50 / 208 papers shown
Title
Explainable artificial intelligence model for identifying Market Value
  in Professional Soccer Players
Explainable artificial intelligence model for identifying Market Value in Professional Soccer Players
Chunyang Huang
Shaoliang Zhang
19
0
0
08 Nov 2023
Identifying and examining machine learning biases on Adult dataset
Identifying and examining machine learning biases on Adult dataset
Sahil Girhepuje
FaML
23
2
0
13 Oct 2023
Lightweight Boosting Models for User Response Prediction Using
  Adversarial Validation
Lightweight Boosting Models for User Response Prediction Using Adversarial Validation
Hyeonwoo Kim
Wonsung Lee
18
0
0
05 Oct 2023
Scaling Experiments in Self-Supervised Cross-Table Representation
  Learning
Scaling Experiments in Self-Supervised Cross-Table Representation Learning
Maximilian Schambach
Dominique Paul
Wei Le
LMTD
55
2
0
29 Sep 2023
Age Group Discrimination via Free Handwriting Indicators
Age Group Discrimination via Free Handwriting Indicators
Eugenio Lomurno
Simone Toffoli
D. D. Febbo
Matteo Matteucci
Francesca Lunardini
Simona Ferrante
55
1
0
29 Sep 2023
SHAPNN: Shapley Value Regularized Tabular Neural Network
SHAPNN: Shapley Value Regularized Tabular Neural Network
Qisen Cheng
Shuhui Qu
Janghwan Lee
65
3
0
15 Sep 2023
TMPNN: High-Order Polynomial Regression Based on Taylor Map
  Factorization
TMPNN: High-Order Polynomial Regression Based on Taylor Map Factorization
Andrei Ivanov
Stefan Maria Ailuro
35
1
0
30 Jul 2023
RCT Rejection Sampling for Causal Estimation Evaluation
RCT Rejection Sampling for Causal Estimation Evaluation
Katherine A. Keith
Sergey Feldman
David Jurgens
Jonathan Bragg
Rohit Bhattacharya
CML
77
7
0
27 Jul 2023
Learning and Evaluating Human Preferences for Conversational Head
  Generation
Learning and Evaluating Human Preferences for Conversational Head Generation
Mohan Zhou
Yalong Bai
Wei Zhang
Ting Yao
Tiejun Zhao
Tao Mei
51
2
0
20 Jul 2023
Enhanced Gradient Boosting for Zero-Inflated Insurance Claims and
  Comparative Analysis of CatBoost, XGBoost, and LightGBM
Enhanced Gradient Boosting for Zero-Inflated Insurance Claims and Comparative Analysis of CatBoost, XGBoost, and LightGBM
Banghee So
22
13
0
15 Jul 2023
Performance Modeling of Data Storage Systems using Generative Models
Performance Modeling of Data Storage Systems using Generative Models
A. Al-Maeeni
A. Temirkhanov
Artem Sergeevich Ryzhikov
M. Hushchyn
76
0
0
05 Jul 2023
Unbiased Gradient Boosting Decision Tree with Unbiased Feature
  Importance
Unbiased Gradient Boosting Decision Tree with Unbiased Feature Importance
Zheyu Zhang
Tianze Zhang
Jun Yu Li
105
5
0
18 May 2023
XTab: Cross-table Pretraining for Tabular Transformers
XTab: Cross-table Pretraining for Tabular Transformers
Bingzhao Zhu
Xingjian Shi
Nick Erickson
Mu Li
George Karypis
Mahsa Shoaran
LMTD
116
77
0
10 May 2023
Effects of data time lag in a decision-making system using machine
  learning for pork price prediction
Effects of data time lag in a decision-making system using machine learning for pork price prediction
Mario E. Suaza-Medina
F. J. Zarazaga-Soria
Jorge Pinilla-Lopez
F. J. Lopez-Pellicer
J. Lacasta
24
3
0
09 May 2023
Predict NAS Multi-Task by Stacking Ensemble Models using GP-NAS
Predict NAS Multi-Task by Stacking Ensemble Models using GP-NAS
Kecheng Zhang
8
0
0
02 May 2023
Multimodal Earable Sensing for Human Energy Expenditure Estimation
Multimodal Earable Sensing for Human Energy Expenditure Estimation
Yasith Amarasinghe
Darshana Sandaruwan
Thilina Madusanka
Indika Perera
L. Meegahapola
55
6
0
30 Apr 2023
Morphological Classification of Extragalactic Radio Sources Using
  Gradient Boosting Methods
Morphological Classification of Extragalactic Radio Sources Using Gradient Boosting Methods
A. Darya
I. Fernini
M. Vellasco
A. Hussain
73
0
0
25 Apr 2023
Time-dependent Iterative Imputation for Multivariate Longitudinal
  Clinical Data
Time-dependent Iterative Imputation for Multivariate Longitudinal Clinical Data
Omer Noy
R. Shamir
24
2
0
16 Apr 2023
Correcting Model Misspecification via Generative Adversarial Networks
Correcting Model Misspecification via Generative Adversarial Networks
Pronoma Banerjee
Manasi V Gude
Rajvi J Sampat
Sharvari M Hedaoo
S. Dhavala
Snehanshu Saha
44
0
0
07 Apr 2023
A review of ensemble learning and data augmentation models for class
  imbalanced problems: combination, implementation and evaluation
A review of ensemble learning and data augmentation models for class imbalanced problems: combination, implementation and evaluation
A. Khan
Omkar Chaudhari
Rohitash Chandra
97
193
0
06 Apr 2023
LEURN: Learning Explainable Univariate Rules with Neural Networks
LEURN: Learning Explainable Univariate Rules with Neural Networks
Çağlar Aytekin
FAtt
57
0
0
27 Mar 2023
Effectively Modeling Time Series with Simple Discrete State Spaces
Effectively Modeling Time Series with Simple Discrete State Spaces
Michael Zhang
Khaled Kamal Saab
Michael Poli
Tri Dao
Karan Goel
Christopher Ré
AI4TS
69
48
0
16 Mar 2023
Interpretable Ensembles of Hyper-Rectangles as Base Models
Interpretable Ensembles of Hyper-Rectangles as Base Models
A. Konstantinov
Lev V. Utkin
101
3
0
15 Mar 2023
Learning When to Treat Business Processes: Prescriptive Process
  Monitoring with Causal Inference and Reinforcement Learning
Learning When to Treat Business Processes: Prescriptive Process Monitoring with Causal Inference and Reinforcement Learning
Z. Bozorgi
Marlon Dumas
M. Rosa
Artem Polyvyanyy
Mahmoud Shoush
Irene Teinemaa
CML
28
10
0
07 Mar 2023
Embeddings for Tabular Data: A Survey
Embeddings for Tabular Data: A Survey
Rajat Singh
Srikanta J. Bedathur
LMTD
57
2
0
23 Feb 2023
Black-Box Batch Active Learning for Regression
Black-Box Batch Active Learning for Regression
Andreas Kirsch
64
9
0
17 Feb 2023
On marginal feature attributions of tree-based models
On marginal feature attributions of tree-based models
Khashayar Filom
A. Miroshnikov
Konstandinos Kotsiopoulos
Arjun Ravi Kannan
FAtt
57
3
0
16 Feb 2023
Rehabilitating Homeless: Dataset and Key Insights
Rehabilitating Homeless: Dataset and Key Insights
A. Bykova
N. Filippov
Ivan P. Yamshchikov
23
0
0
09 Feb 2023
Rover: An online Spark SQL tuning service via generalized transfer
  learning
Rover: An online Spark SQL tuning service via generalized transfer learning
Yu Shen
Xinyuyang Ren
Yupeng Lu
Huaijun Jiang
Huanyong Xu
Di Peng
Yang Li
Wentao Zhang
Tengjiao Wang
69
13
0
08 Feb 2023
A Robust Hypothesis Test for Tree Ensemble Pruning
A Robust Hypothesis Test for Tree Ensemble Pruning
Daniel de Marchi
Matthew Welch
Michael R. Kosorok
24
1
0
24 Jan 2023
Img2Tab: Automatic Class Relevant Concept Discovery from StyleGAN
  Features for Explainable Image Classification
Img2Tab: Automatic Class Relevant Concept Discovery from StyleGAN Features for Explainable Image Classification
Y. Song
S. K. Shyn
Kwang-su Kim
VLM
54
5
0
16 Jan 2023
Large-Scale Cell-Level Quality of Service Estimation on 5G Networks
  Using Machine Learning Techniques
Large-Scale Cell-Level Quality of Service Estimation on 5G Networks Using Machine Learning Techniques
M. T. Isyapar
Ufuk Uyan
Mahiye Uluyagmur Öztürk
46
0
0
28 Dec 2022
Symphony in the Latent Space: Provably Integrating High-dimensional
  Techniques with Non-linear Machine Learning Models
Symphony in the Latent Space: Provably Integrating High-dimensional Techniques with Non-linear Machine Learning Models
Qiong Wu
Jian Li
Zhenming Liu
Jun Luo
Ning Zhang
80
4
0
01 Dec 2022
Subgroup Robustness Grows On Trees: An Empirical Baseline Investigation
Subgroup Robustness Grows On Trees: An Empirical Baseline Investigation
Josh Gardner
Zoran Popovic
Ludwig Schmidt
OOD
96
23
0
23 Nov 2022
Arbitrarily Large Labelled Random Satisfiability Formulas for Machine
  Learning Training
Arbitrarily Large Labelled Random Satisfiability Formulas for Machine Learning Training
D. Achlioptas
Amrit Daswaney
Periklis A. Papakonstantinou
NAIBDL
41
0
0
21 Nov 2022
QuerySnout: Automating the Discovery of Attribute Inference Attacks
  against Query-Based Systems
QuerySnout: Automating the Discovery of Attribute Inference Attacks against Query-Based Systems
Ana-Maria Cretu
F. Houssiau
Antoine Cully
Yves-Alexandre de Montjoye
AAML
68
11
0
09 Nov 2022
Performance and utility trade-off in interpretable sleep staging
Performance and utility trade-off in interpretable sleep staging
Irfan Al-Hussaini
Cassie S. Mitchell
82
3
0
07 Nov 2022
Extractive Summarization of Legal Decisions using Multi-task Learning
  and Maximal Marginal Relevance
Extractive Summarization of Legal Decisions using Multi-task Learning and Maximal Marginal Relevance
Abhishek Agarwal
Shanshan Xu
Matthias Grabmair
ELMAILaw
86
14
0
22 Oct 2022
Black Box Model Explanations and the Human Interpretability Expectations
  -- An Analysis in the Context of Homicide Prediction
Black Box Model Explanations and the Human Interpretability Expectations -- An Analysis in the Context of Homicide Prediction
José Ribeiro
Nikolas Carneiro
Ronnie Cley de Oliveira Alves
43
0
0
19 Oct 2022
Generalization Properties of Decision Trees on Real-valued and
  Categorical Features
Generalization Properties of Decision Trees on Real-valued and Categorical Features
Jean-Samuel Leboeuf
F. Leblanc
M. Marchand
145
1
0
18 Oct 2022
Multi-Target XGBoostLSS Regression
Multi-Target XGBoostLSS Regression
Alexander März
63
5
0
13 Oct 2022
A copula-based boosting model for time-to-event prediction with
  dependent censoring
A copula-based boosting model for time-to-event prediction with dependent censoring
A. Midtfjord
R. D. Bin
A. Huseby
32
1
0
10 Oct 2022
Federated Boosted Decision Trees with Differential Privacy
Federated Boosted Decision Trees with Differential Privacy
Samuel Maddock
Graham Cormode
Tianhao Wang
Carsten Maple
S. Jha
FedML
82
30
0
06 Oct 2022
OpBoost: A Vertical Federated Tree Boosting Framework Based on
  Order-Preserving Desensitization
OpBoost: A Vertical Federated Tree Boosting Framework Based on Order-Preserving Desensitization
Xiaochen Li
Yuke Hu
Weiran Liu
Hanwen Feng
Li Peng
Yuan Hong
Kui Ren
Zhan Qin
FedML
184
28
0
04 Oct 2022
Forecasting Sensor Values in Waste-To-Fuel Plants: a Case Study
Forecasting Sensor Values in Waste-To-Fuel Plants: a Case Study
Bor Brecelj
Beno Šircelj
Jože M. Rožanec
B. Fortuna
Dunja Mladenić
13
0
0
28 Sep 2022
Automatic Identification and Classification of Share Buybacks and their
  Effect on Short-, Mid- and Long-Term Returns
Automatic Identification and Classification of Share Buybacks and their Effect on Short-, Mid- and Long-Term Returns
Thilo Reintjes
11
1
0
26 Sep 2022
NasHD: Efficient ViT Architecture Performance Ranking using
  Hyperdimensional Computing
NasHD: Efficient ViT Architecture Performance Ranking using Hyperdimensional Computing
Dongning Ma
Pengfei Zhao
Xun Jiao
69
0
0
23 Sep 2022
A Comprehensive Benchmark for COVID-19 Predictive Modeling Using
  Electronic Health Records in Intensive Care
A Comprehensive Benchmark for COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care
Junyi Gao
Yinghao Zhu
Wenqing Wang
Yasha Wang
Wen Tang
Ewen M. Harrison
Liantao Ma
OOD
84
16
0
16 Sep 2022
Applying Machine Learning to Life Insurance: some knowledge sharing to
  master it
Applying Machine Learning to Life Insurance: some knowledge sharing to master it
Antoine Chancel
L. Bradier
Antoine Ly
R. Ionescu
Laurene Martin
Marguerite Sauce
44
1
0
05 Sep 2022
Long-term hail risk assessment with deep neural networks
Long-term hail risk assessment with deep neural networks
Ivan Lukyanenko
Mikhail Mozikov
Yury Maximov
L. Laboratory
13
1
0
31 Aug 2022
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