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	101	102	103	104	201	202	203	Grand Ballroom	Hall B
Mon 12:30 a.m.									Wolfram: Machine Learning Tools and Applications at Wolfram Research
Mon 01:30 a.m.									Petuum Inc.: Arion: a next-generation distributed deep learning virtual machine
Mon 02:30 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
Mon 03:30 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
Mon 04:00 a.m.									Yandex: CatBoost — the new generation of Gradient Boosting
Mon 04:30 a.m.								Beijing Baidu Netcom: Baidu’s Initiative in Creating the Future of Intelligent Transportation	Google: AI for Social Good
Mon 06:00 a.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
Mon 07:00 a.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
Mon 08:30 a.m.								Sberbank AI: AI transformation in Sberbank	doc.ai: Flea: An open source framework for federated learning
Mon 09:30 a.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