Yin Lou

发表

Detecting Bias in Black-Box Models Using Transparent Model Distillation.

R. Caruana, G. Hooker, S. Tan, 2017 .

Map-matching for low-sampling-rate GPS trajectories

Chengyang Zhang, Wei Wang, Xing Xie, 2009, GIS.

A Survey on Multi Objective Optimization Challenges in Swarm Intelligence

R. Caruana, Yin Lou, 2021, Journal of Computing and Natural Science.

Feature Augmentation with Reinforcement Learning

Jianhua Feng, Yin Lou, Chengliang Chai, 2022, 2022 IEEE 38th International Conference on Data Engineering (ICDE).

Sparse Partially Linear Additive Models

Johannes Gehrke, Rich Caruana, Jacob Bien, 2014, ArXiv.

BDT: Gradient Boosted Decision Tables for High Accuracy and Scoring Efficiency

Yin Lou, Mikhail Obukhov, Yin Lou, 2017, KDD.

Intelligible Models: Recovering Low Dimensional Additive Structure For Machine Learning Models

Yin Lou, Yin Lou, 2014 .

Intelligible models for classification and regression

Johannes Gehrke, Rich Caruana, Yin Lou, 2012, KDD.

Accurate intelligible models with pairwise interactions

Johannes Gehrke, Rich Caruana, Giles Hooker, 2013, KDD.

Intelligible Models for HealthCare: Predicting Pneumonia Risk and Hospital 30-day Readmission

Johannes Gehrke, Rich Caruana, Noémie Elhadad, 2015, KDD.

MatchMiner: Efficient Spanning Structure Mining in Large Image Collections

Johannes Gehrke, Noah Snavely, Yin Lou, 2012, ECCV.

Distill-and-Compare: Auditing Black-Box Models Using Transparent Model Distillation

Rich Caruana, Giles Hooker, Sarah Tan, 2017, AIES.

Generating data series query workloads

J. Gehrke, Themis Palpanas, Yin Lou, 2018, The VLDB Journal.

Query Workloads for Data Series Indexes

Johannes Gehrke, Themis Palpanas, Konstantinos Zoumpatianos, 2015, KDD.

Using Explainable Boosting Machines (EBMs) to Detect Common Flaws in Data

R. Caruana, S. Tan, Yin Lou, 2021, PKDD/ECML Workshops.

Axiomatic Interpretability for Multiclass Additive Models

Rich Caruana, Xuezhou Zhang, Paul Koch, 2018, KDD.

Efficiently Training Intelligible Models for Global Explanations

Yin Lou, Yang Dong, Yongliang Wang, 2020, CIKM.

Auditing Black-Box Models Using Transparent Model Distillation With Side Information

Rich Caruana, Giles Hooker, Sarah Tan, 2017 .

ATLAS: a probabilistic algorithm for high dimensional similarity search

Johannes Gehrke, Yin Lou, Jiaqi Zhai, 2011, SIGMOD '11.

Interpretability is Harder in the Multiclass Setting: Axiomatic Interpretability for Multiclass Additive Models pdf

Rich Caruana, Xuezhou Zhang, Paul Koch, 2018, ArXiv.

Mediating Effects of Adolescent Physical Activity, Self-Rated Health and Family Income

M. Wang, J. Liu, Yin Lou, 2022, Frontiers in Public Health.

MatchMiner: Efficient Spanning Structure Mining in Large Image Collections

Noah Snavely, J. Gehrke, Yin Lou, 2012, ECCV.