| Intelligible models for healthcare: Predicting pneumonia risk and hospital 30-day readmission R Caruana, Y Lou, J Gehrke, P Koch, M Sturm, N Elhadad Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015 | 1280 | 2015 |
| Map-matching for low-sampling-rate GPS trajectories Y Lou, C Zhang, Y Zheng, X Xie, W Wang, Y Huang Proceedings of the 17th ACM SIGSPATIAL international conference on advances …, 2009 | 911 | 2009 |
| Intelligible Models for Classification and Regression Y Lou, R Caruana, J Gehrke Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 397 | 2012 |
| Accurate intelligible models with pairwise interactions Y Lou, R Caruana, J Gehrke, G Hooker Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 303 | 2013 |
| Distill-and-compare: Auditing black-box models using transparent model distillation S Tan, R Caruana, G Hooker, Y Lou Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 303-310, 2018 | 169 | 2018 |
| Route computation based on route-oriented vehicle trajectories Y Zheng, Y Lou, C Zhang, X Xie US Patent 9,261,376, 2016 | 78 | 2016 |
| Sparse partially linear additive models Y Lou, J Bien, R Caruana, J Gehrke Journal of Computational and Graphical Statistics 25 (4), 1126-1140, 2016 | 57 | 2016 |
| Atlas: a probabilistic algorithm for high dimensional similarity search J Zhai, Y Lou, J Gehrke Proceedings of the 2011 international conference on Management of data, 997-1008, 2011 | 52 | 2011 |
| MatchMiner: Efficient Spanning Structure Mining in Large Image Collections Y Lou, N Snavely, J Gehrke Proceedings of the 12th European Conference on Computer Vision, 2012 | 48 | 2012 |
| Map-matching for low-sampling-rate GPS trajectories Y Zheng, Y Lou, C Zhang, X Xie US Patent 10,288,433, 2019 | 36 | 2019 |
| Query workloads for data series indexes K Zoumpatianos, Y Lou, T Palpanas, J Gehrke Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 27 | 2015 |
| Axiomatic interpretability for multiclass additive models X Zhang, S Tan, P Koch, Y Lou, U Chajewska, R Caruana Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 24 | 2019 |
| Bdt: Gradient boosted decision tables for high accuracy and scoring efficiency Y Lou, M Obukhov Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017 | 17 | 2017 |
| Generating data series query workloads K Zoumpatianos, Y Lou, I Ileana, T Palpanas, J Gehrke The VLDB Journal 27 (6), 823-846, 2018 | 16 | 2018 |
| Interpretability is harder in the multiclass setting: axiomatic interpretability for multiclass additive models X Zhang, S Tan, P Koch, Y Lou, U Chajewska, R Caruana age 25 (50), 75-100, 2019 | 3 | 2019 |
| Efficiently training intelligible models for global explanations Y Lou, Y Wang, S Liang, Y Dong Proceedings of the 29th ACM International Conference on Information …, 2020 | 2 | 2020 |
| Feature Augmentation with Reinforcement Learning J Liu, C Chai, Y Luo, Y Lou, J Feng, N Tang 2022 IEEE 38th International Conference on Data Engineering (ICDE), 3360-3372, 2022 | | 2022 |
| Using Explainable Boosting Machines (EBMs) to Detect Common Flaws in Data Z Chen, S Tan, H Nori, K Inkpen, Y Lou, R Caruana Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021 | | 2021 |
| Supplementary Material for Sparse Partially Linear Additive Models Y Lou, J Bien, R Caruana, J Gehrke | | 2016 |
| Friends Don’t Let Friends Deploy Black-Box Models: Detecting and Preventing Bias via Transparent Modeling R Caruana, Y Lou, S Tan, J Gehrke, P Koch, M Sturm, N Elhadad, ... | | |
Rich CaruanaMicrosoft ReesearchVerified email at microsoft.com
