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FODS
2020
2020
2020
Keyphrases
Publications
2020
FODS '20: ACM-IMS Foundations of Data Science Conference, Virtual Event, USA, October 19-20, 2020
FODS
(2020)
Chenglin Fan
,
Ping Li
Classification Acceleration via Merging Decision Trees.
FODS
(2020)
Miguel Á. Carreira-Perpiñán
,
Arman Zharmagambetov
Ensembles of Bagged TAO Trees Consistently Improve over Random Forests, AdaBoost and Gradient Boosting.
FODS
(2020)
Lina Lin
,
Mathias Drton
,
Ali Shojaie
Statistical Significance in High-dimensional Linear Mixed Models.
FODS
(2020)
Tianyu Wang
,
Weicheng Ye
,
Dawei Geng
,
Cynthia Rudin
Towards Practical Lipschitz Bandits.
FODS
(2020)
Yu Gui
ADAGES: Adaptive Aggregation with Stability for Distributed Feature Selection.
FODS
(2020)
Mihaela van der Schaar
AutoML and Interpretability: Powering the Machine Learning Revolution in Healthcare.
FODS
(2020)
Claire Mathieu
,
Michel de Rougemont
Large Very Dense Subgraphs in a Stream of Edges.
FODS
(2020)
Roland Maio
,
Augustin Chaintreau
Incentives Needed for Low-Cost Fair Lateral Data Reuse.
FODS
(2020)
Alex Fout
,
Bailey K. Fosdick
,
Matthew P. Hitt
Non-Uniform Sampling of Fixed Margin Binary Matrices.
FODS
(2020)
Sarah Tan
,
Matvey Soloviev
,
Giles Hooker
,
Martin T. Wells
Tree Space Prototypes: Another Look at Making Tree Ensembles Interpretable.
FODS
(2020)
Ryan Bernstein
,
Matthijs Vákár
,
Jeannette Wing
Transforming Probabilistic Programs for Model Checking.
FODS
(2020)
Haitian Chen
,
Bai Jiang
,
Hao Chen
StyleCAPTCHA: CAPTCHA Based on Stylized Images to Defend against Deep Networks.
FODS
(2020)
Xiangyi Chen
,
Xiaoyun Li
,
Ping Li
Toward Communication Efficient Adaptive Gradient Method.
FODS
(2020)
Thanh Le
,
Vasant G. Honavar
Dynamical Gaussian Process Latent Variable Model for Representation Learning from Longitudinal Data.
FODS
(2020)
Collin Burns
,
Jesse Thomason
,
Wesley Tansey
Interpreting Black Box Models via Hypothesis Testing.
FODS
(2020)
Isabella Grasso
,
David Russell
,
Abigail Matthews
,
Jeanna N. Matthews
,
Nicholas R. Record
Applying Algorithmic Accountability Frameworks with Domain-specific Codes of Ethics: A Case Study in Ecosystem Forecasting for Shellfish Toxicity in the Gulf of Maine.
FODS
(2020)
Devavrat Shah
,
Varun Somani
,
Qiaomin Xie
,
Zhi Xu
On Reinforcement Learning for Turn-based Zero-sum Markov Games.
FODS
(2020)
Ruobin Gong
,
Xiao-Li Meng
Congenial Differential Privacy under Mandated Disclosure.
FODS
(2020)
Oren Etzioni
Semantic Scholar, NLP, and the Fight against COVID-19.
FODS
(2020)