Hands-On Tutorials

HoloViz: Visualization and Interactive Dashboards in Python

Authors: Sophia Yang (Anaconda Inc.)*; Marc Skov Madsen (datamodelsanalytics.com); Jim Bednar (Anaconda Inc.)

Reward Optimising Recommendation using Deep Learning and Fast Maximum Inner Product Search

Authors: Imad Aouali (ENS Paris-Saclay); Benjamin Heymann (Criteo); Martin Bompaire (Criteo); Achraf Ait Sidi Hammou (Criteo); Sergey Ivanov (Criteo); Amine Benhalloum (Criteo); DAVID J ROHDE (CRITEO)*; Flavian Vasile (Criteo); Maxime VONO (Criteo); Otmane Sakhi (Criteo)

Efficient Machine Learning on Large-Scale Graphs

Authors: Parker Erickson (TigerGraph)*; Victor Lee (TigerGraph); Feng Shi (Tigergraph); Jiliang Tang (Michigan State University)

Frontiers of Graph Neural Networks with DIG

Authors: Shuiwang Ji (Texas A&M University)*; Meng Liu (Texas A&M University); Yi Liu (Texas A&M University); Youzhi Luo (Texas A&M University); Limei Wang (Texas A&M University); Yaochen Xie (Texas A&M University); Zhao Xu (Texas A&M University); Haiyang Yu (Texas A&M University)

Toolkit for Time Series Anomaly Detection

Authors: Dhaval Patel (IBM TJ Watson Research Center)*; Dzung Phan (IBM Research, T. J. Watson Research Center); Markus Mueller (IBM Watson Munich); Amaresh Rajasekharan (IBM)

Anomaly Detection for Spatiotemporal Data in Action

Authors: Guang Yang (Amazon)*; Ninad D Kulkarni (Amazon); Paavani Dua (Amazon); Dipika Khullar (Amazon); Alex Anto Chirayath (Amazon)

Why Data Scientists Prefer Glassbox Machine Learning: Algorithms, Differential Privacy, Editing and Bias Mitigation

Authors: Rich Caruana (Microsoft Research); Harsha Nori (Microsoft)*

Graph Neural Networks in Life Sciences: Opportunities and Solutions

Authors: Zichen Wang (Amazon)*; Vassilis N. Ioannidis (University of Minnesota); Huzefa Rangwala (Amazon); Tatsuya Arai (Amazon Web Services); Ryan Brand (Amazon); Mufei Li (Amazon); Yohei Nakayama (Amazon); Miguel Romero (Amazon)

PECOS: Prediction for Enormous and Correlated Output Spaces

Authors: Hsiang-Fu Yu (Amazon); Jiong Zhang (UT-Austin); Wei-Cheng Chang (Amazon); Jyun-Yu Jiang (Amazon Science)*; Wei Li (Amazon); Cho-Jui Hsieh (UCLA)

Gradual AutoML using Lale

Authors: Kiran Kate (IBM Research)*; Martin Hirzel (IBM Research); Parikshit Ram (IBM Research AI); Avraham Shinnar (IBM Research); Jason Tsay (IBM Research)

A Practical Introduction to Federated Learning

Authors: Yaliang Li (Alibaba Group)*; Bolin Ding ("Data Analytics and Intelligence Lab, Alibaba Group"); Jingren Zhou (Alibaba Group)

Deep Search Relevance Ranking in Practice

Authors: Linsey Pang (Salesforce)*; Wei Liu (University of Technology Sydney); Moumita Bhattacharya (neflix); Keng-hao Chang (Microsoft); Xue Li (Microsoft); xianjing liu (twitter); Stephen Guo (Walmart Labs)

Classifying Multimodal Data Using Transformers

Authors: Watson W.K. Chua (Government Technology Agency of Singapore)*; Lu Li (Government Technology Agency of Singapore); Alvina Goh (Govtech)

Automated Machine Learning & Tuning with FLAML

Authors: Chi Wang (Microsoft Research); Qingyun Wu (Pennsylvania State University)*; Xueqing Liu (Stevens Institute of Technology)