Yin Lou

24 papers A* 9A 1C 1Journal 8Unranked 5
YearRankTypeTitle / Venue / Authors
2026 A* conf
Feature-PI: A Data Repository for Learning-based Feature Importance Estimation.
WWW
Yin Lou
2024 J jnl
FeatureLTE: Learning to Estimate Feature Importance.
Proc. ACM Manag. Data
Tianping Zhang, Zhaoyang Wang, Chen Qian, Jian Li, Yin Lou
2024 A* conf
On Finding Bi-objective Pareto-optimal Fraud Prevention Rule Sets for Fintech Applications.
KDD
Chengyao Wen, Yin Lou
2024 — conf
Reproducibility Report for ACM SIGMOD 2024 Paper: 'Grafite: Taming Adversarial Queries with Optimal Range Filters'.
SIGMOD/PODS
Carlos E. Muñiz-Cuza, Yin Lou, Kyoseung Koo, Marco Costa, Giorgio Vinciguerra
2023 J jnl
Fanglue: An Interactive System for Decision Rule Crafting.
Proc. VLDB Endow.
Chen Qian, Shiwei Liang, Zhaoyang Wang, Yin Lou
2023 J jnl
On Finding Bi-objective Pareto-optimal Fraud Prevention Rule Sets for Fintech Applications.
CoRR
Chengyao Wen, Yin Lou
2022 A* conf
Feature Augmentation with Reinforcement Learning.
ICDE
Jiabin Liu, Chengliang Chai, Yuyu Luo, Yin Lou, Jianhua Feng, Nan Tang
2021 J jnl
Screening and Identification of Key Biomarkers in Melanoma: Evidence from Bioinformatic Analyses.
J. Comput. Biol.
Yijun Xia, Juan Xie, Jun Zhao, Yin Lou, Dongsheng Cao
2021 — conf
Using Explainable Boosting Machines (EBMs) to Detect Common Flaws in Data.
PKDD/ECML Workshops (1)
Zhi Chen, Sarah Tan, Harsha Nori, Kori Inkpen, Yin Lou, Rich Caruana
2020 A conf
Efficiently Training Intelligible Models for Global Explanations.
CIKM
Yin Lou, Yongliang Wang, Shiwei Liang, Yang Dong
2019 A* conf
Axiomatic Interpretability for Multiclass Additive Models.
KDD
Xuezhou Zhang, Sarah Tan, Paul Koch, Yin Lou, Urszula Chajewska, Rich Caruana
2018 C conf
Distill-and-Compare: Auditing Black-Box Models Using Transparent Model Distillation.
AIES
Sarah Tan, Rich Caruana, Giles Hooker, Yin Lou
2018 J jnl
Generating data series query workloads.
VLDB J.
Kostas Zoumpatianos, Yin Lou, Ioana Ileana, Themis Palpanas, Johannes Gehrke
2018 J jnl
Interpretability is Harder in the Multiclass Setting: Axiomatic Interpretability for Multiclass Additive Models.
CoRR
Xuezhou Zhang, Sarah Tan, Paul Koch, Yin Lou, Urszula Chajewska, Rich Caruana
2017 A* conf
BDT: Gradient Boosted Decision Tables for High Accuracy and Scoring Efficiency.
KDD
Yin Lou, Mikhail Obukhov
2017 J jnl
Detecting Bias in Black-Box Models Using Transparent Model Distillation.
CoRR
Sarah Tan, Rich Caruana, Giles Hooker, Yin Lou
2015 A* conf
Intelligible Models for HealthCare: Predicting Pneumonia Risk and Hospital 30-day Readmission.
KDD
Rich Caruana, Yin Lou, Johannes Gehrke, Paul Koch, Marc Sturm, Noemie Elhadad
2015 A* conf
Query Workloads for Data Series Indexes.
KDD
Kostas Zoumpatianos, Yin Lou, Themis Palpanas, Johannes Gehrke
2014 J jnl
Sparse Partially Linear Additive Models.
CoRR
Yin Lou, Jacob Bien, Rich Caruana, Johannes Gehrke
2013 A* conf
Accurate intelligible models with pairwise interactions.
KDD
Yin Lou, Rich Caruana, Johannes Gehrke, Giles Hooker
2012 A* conf
Intelligible models for classification and regression.
KDD
Yin Lou, Rich Caruana, Johannes Gehrke
2012 — conf
MatchMiner: Efficient Spanning Structure Mining in Large Image Collections.
ECCV (2)
Yin Lou, Noah Snavely, Johannes Gehrke
2011 — conf
ATLAS: a probabilistic algorithm for high dimensional similarity search.
SIGMOD Conference
Jiaqi Zhai, Yin Lou, Johannes Gehrke
2009 — conf
Map-matching for low-sampling-rate GPS trajectories.
GIS
Yin Lou, Chengyang Zhang, Yu Zheng, Xing Xie, Wei Wang, Yan Huang