Yin Lou

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 16

Top Topics

Multiclass Problems

Additive Models

Top Venues

Proc. VLDB Endow.

Proc. ACM Manag. Data

Publications

Tianping Zhang, Zhaoyang Wang, Chen Qian, Jian Li, Yin Lou
FeatureLTE: Learning to Estimate Feature Importance. Proc. ACM Manag. Data 2 (3) (2024)
Chengyao Wen, Yin Lou
On Finding Bi-objective Pareto-optimal Fraud Prevention Rule Sets for Fintech Applications. KDD (2024)
Chengyao Wen, Yin Lou
On Finding Bi-objective Pareto-optimal Fraud Prevention Rule Sets for Fintech Applications. CoRR (2023)
Chen Qian, Shiwei Liang, Zhaoyang Wang, Yin Lou
Fanglue: An Interactive System for Decision Rule Crafting. Proc. VLDB Endow. 16 (12) (2023)
Jiabin Liu, Chengliang Chai, Yuyu Luo, Yin Lou, Jianhua Feng, Nan Tang
Feature Augmentation with Reinforcement Learning. ICDE (2022)
Yijun Xia, Juan Xie, Jun Zhao, Yin Lou, Dongsheng Cao
Screening and Identification of Key Biomarkers in Melanoma: Evidence from Bioinformatic Analyses. J. Comput. Biol. 28 (3) (2021)
Zhi Chen, Sarah Tan, Harsha Nori, Kori Inkpen, Yin Lou, Rich Caruana
Using Explainable Boosting Machines (EBMs) to Detect Common Flaws in Data. PKDD/ECML Workshops (1) (2021)
Yin Lou, Yongliang Wang, Shiwei Liang, Yang Dong
Efficiently Training Intelligible Models for Global Explanations. CIKM (2020)
Xuezhou Zhang, Sarah Tan, Paul Koch, Yin Lou, Urszula Chajewska, Rich Caruana
Axiomatic Interpretability for Multiclass Additive Models. KDD (2019)
Kostas Zoumpatianos, Yin Lou, Ioana Ileana, Themis Palpanas, Johannes Gehrke
Generating data series query workloads. VLDB J. 27 (6) (2018)
Xuezhou Zhang, Sarah Tan, Paul Koch, Yin Lou, Urszula Chajewska, Rich Caruana
Interpretability is Harder in the Multiclass Setting: Axiomatic Interpretability for Multiclass Additive Models. CoRR (2018)
Sarah Tan, Rich Caruana, Giles Hooker, Yin Lou
Distill-and-Compare: Auditing Black-Box Models Using Transparent Model Distillation. AIES (2018)
Sarah Tan, Rich Caruana, Giles Hooker, Yin Lou
Detecting Bias in Black-Box Models Using Transparent Model Distillation. CoRR (2017)
Yin Lou, Mikhail Obukhov
BDT: Gradient Boosted Decision Tables for High Accuracy and Scoring Efficiency. KDD (2017)
Rich Caruana, Yin Lou, Johannes Gehrke, Paul Koch, Marc Sturm, Noemie Elhadad
Intelligible Models for HealthCare: Predicting Pneumonia Risk and Hospital 30-day Readmission. KDD (2015)
Kostas Zoumpatianos, Yin Lou, Themis Palpanas, Johannes Gehrke
Query Workloads for Data Series Indexes. KDD (2015)
Yin Lou, Jacob Bien, Rich Caruana, Johannes Gehrke
Sparse Partially Linear Additive Models. CoRR (2014)
Yin Lou, Rich Caruana, Johannes Gehrke, Giles Hooker
Accurate intelligible models with pairwise interactions. KDD (2013)
Yin Lou, Rich Caruana, Johannes Gehrke
Intelligible models for classification and regression. KDD (2012)
Yin Lou, Noah Snavely, Johannes Gehrke
MatchMiner: Efficient Spanning Structure Mining in Large Image Collections. ECCV (2) (2012)
Jiaqi Zhai, Yin Lou, Johannes Gehrke
ATLAS: a probabilistic algorithm for high dimensional similarity search. SIGMOD Conference (2011)
Yin Lou, Chengyang Zhang, Yu Zheng, Xing Xie, Wei Wang, Yan Huang
Map-matching for low-sampling-rate GPS trajectories. GIS (2009)