ICML 2019 Expo Schedule Overview

ICML 2019 Expo June 9, 2019

Sunday, June 9, 2019

Note the Room numbers above the column of Program Titles

Start Time
Sun 08:30 a.m.									Wolfram: Machine Learning Tools and Applications at Wolfram Research
Sun 09:30 a.m.									Petuum Inc.: Arion: a next-generation distributed deep learning virtual machine
Sun 10:30 a.m.								Petuum Inc.: Texar: An open-source modularized, versatile, and extensible toolkit for Text Generation and Beyond	Insilico Medicine, Inc: Generative Models for Drug discovery
Sun 11:30 a.m.								Point72 / Cubist: Machine Learning Applications in Financial Data Analysis	Yandex: How to build hyperlocal weather forecast with machine learning techniques on a global scale
Sun 12:00 p.m.									Yandex: CatBoost — the new generation of Gradient Boosting
Sun 12:30 p.m.								Beijing Baidu Netcom: Baidu’s Initiative in Creating the Future of Intelligent Transportation	Google: AI for Social Good
Sun 02:00 p.m.	Petuum Inc.: Petuum Neurobot Interactive QA Engine in Multiple Languages Live Demo Petuum Inc.: Petuum Neurobot Chic - Fashion AI Live Demo Petuum Inc.: PetuumMed Healthcare AI Live Demo SigOpt: Addressing practical barriers to optimizing applied learning models Petuum Inc.: Petuum Arion – A Highly Scalable Machine Learning Engine Live Demo	Intel AI: Reaching intent estimation via approximate Bayesian computation doc.ai: Declarative On-Device Machine Learning Wolfram: Interactive Machine Learning with Wolfram Notebooks doc.ai: Transcending Federated Learning through Manna doc.ai: Imagine-api, a python3 SDK for performing predictions using doc.ai tensorflow models	Insilico Medicine, Inc: Machine Learning for Drug discovery	Microsoft: Real World Reinforcement Learning Workshop	NAVER \| LINE: Recent Work on Machine Learning at NAVER	Ant Financial: Machine Learning for All-Inclusive Finance	Wolfram: Training Machine Learning Models in the Wolfram Language	Inspur Electronic Information: AutoML Suite: From parallel Modeling to Enterprise Scenarios	doc.ai: Mapping high-throughput DNA sequencing reads with learned index structures
Sun 03:00 p.m.								Intel AI: Optimize/profile deep learning on Apache Spark with the latest Intel DL Boost Technologies and Intel Parallel Studio	doc.ai: Visualizing personal genomics with genewall-tensor
Sun 04:30 p.m.								Sberbank AI: AI transformation in Sberbank	doc.ai: Flea: An open source framework for federated learning
Sun 05:30 p.m.								Intel AI: NLP Architect by Intel AI Lab	doc.ai: Terabyte-scale exposomic, genetic, sociodemographic, and health data for building your cohort for precision medicine