We gratefully acknowledge the following sponsors of ICML 2020, whose exceptional generosity has ensured the continued success of the conference, particularly in making it possible for students to attend and present their research. Thank you for your kind support.
Platinum
At Amazon we fundamentally believe that scientific innovation is essential to being the most customer-centric company in the world. It's this ability to have an impact at scale that allows us to attract some of the brightest minds in machine learning, artificial intelligence and related fields. Amazon’s machine learning teams are looking forward to meeting you at ICML 2020. Visits the Amazon Sponsor Page at ICML to learn more!
We’re a diverse collection of people, reimagining what’s possible to help us do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, and with services, including iTunes, the App Store, Apple Music, and Apple Pay.
DeepMind aims to build advanced AI to expand our knowledge and find new answers. By solving this one thing, we believe we could help people solve thousands of problems. We’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. We have a track record of breakthroughs in fundamental AI research, published in journals like Nature, Science, and more. Our programs have learned to diagnose eye diseases as effectively as the world’s top doctors, to save 30% of the energy used to keep data centres cool, and to predict the complex 3D shapes of proteins - which could one day transform how drugs are invented.
Facebook AI focuses on connecting people to what they care about, powering meaningful
and safe experiences, advancing ML, and conducting open research.
Google's mission is to organize the world’s information and make it universally accessible and useful, and we advance that mission every day in incredible new ways. Research across Google provides new ways of looking at old problems and helps transform how we all work and live, and we think the biggest impact comes when everyone in the world can access it. To that end, we use state-of-the-art computer science techniques to solve problems for our users, our customers and the world, making it easier for you to do things every day, whether it’s searching for photos of people you love, breaking down language barriers, or helping you get things done with your own personal digital assistant.
The Noah’s Ark Lab is the AI research center for Huawei Technologies, located in Hong Kong, Shenzhen, Beijing, Shanghai, Xi’an, London, Paris, Toronto, Montreal, Edmonton, etc.
The mission of the lab is to make significant contributions to both the company and society by innovating in artificial intelligence, data mining and related fields. Mainly driven by long term and big impact projects, research in the lab also tries to advance the state of the art in the fields as well as to harness the products and services of the company, at each stage of the innovation process.
As a world class research lab, we are pushing the frontier of research and development in all areas that we work in.We dare to address both the challenges and opportunities in this era of AI and big data, to revolutionize the ways in which people work and live, and the ways in which companies do business, through intelligentization of all processes, with the slogan 'from big data to deep knowledge'.
Research areas of the lab mainly include computer vision, natural language processing, search & recommendation, decision and reasoning ,AI theory.
Founded in 2012, the lab has now grown to be a research organization with many significant achievements in both academia and industry. We welcome talented researchers and engineers to join us to realize their dreams.
There is no AI without algorithms. In our pursuit of fluid intelligence, we are continuing to advance our work in deep learning, and are putting significant investment into neurosymbolic AI, which combines the power of neural networks with symbolic methods to help AI reason more effectively.
In parallel, we’re delivering secure, trusted AI with work focused on explainability, fairness, and bias reduction, and empowering AI creators with AI engineering tools and capabilities that simplify and automate key tasks like data preparation, training and lifecycle management.
Finally, we’re developing a new class of AI hardware that is inherently energy-sufficient, increasing compute power by orders of magnitude without the demand for increased energy.
[To learn more visit: https://ibm.biz/ai-research](https://ibm.biz/ai-research)
At Two Sigma, our mission is to find value in the world's data. We hire scientists, engineers, and academics who tackle the world’s most challenging financial problems. Our clients in investment management, insurance, securities, private equity and venture capital benefit from our research-led data science approach and advanced technology. Two Sigma has over 1,600 employees with offices in New York, Hong Kong, Houston, London, Shanghai, and Tokyo. Come seek with us.
Gold
AstraZeneca is a global, science-led biopharmaceutical company that focuses on the discovery, development and commercialisation of prescription medicines, primarily for the treatment of diseases in three therapy areas - Oncology, Cardiovascular, Renal & Metabolism, and Respiratory & Immunology. Based in Cambridge, UK, AstraZeneca operates in over 100 countries and its innovative medicines are used by millions of patients worldwide.
Baidu is a leading search engine, knowledge and information centered Internet platform and AI company. The Company's mission is to make the complicated world simpler through technology.
Among our 6,000+ software engineers, we employ 150+ data scientists and research engineers who employ machine learning and natural language processing to solve complex, real-world problems. For example, they build ML models that enable predicting news stories’ impact on company stock prices, recommender systems, semantic parsing for question answering, topic clustering/classification, summarization, sentiment analysis, anomaly detection in time series, and various other domain-specific solutions.
Bosch: Established in 1886 as a workshop for Precision Mechanics and Electrical Engineering, Bosch has developed into a multinational company with roughly 410,000 associates worldwide and revenues of 78.5 billion Euros. Bosch supplies technologies and services throughout the world for Mobility Solutions, Industrial Technology, Consumer Goods, and Energy Building & Technology. After 130 years the group still acts with the vision and values of its founder, Robert Bosch. With an eye on the future, Bosch aims to build reliable, robust machines that will be able to learn continuously and act intelligently.
Bosch has been conducting AI research for many years, and will incorporate AI into all of its products within the next decade, making AI one of its core competencies. From autonomous cars to smart homes, AI will transform products and services and create greater value for Bosch customers.
BCAI: The Bosch Center for Artificial Intelligence, founded in early 2017, deploys cutting-edge AI technologies to generate real-world impact across Bosch products and services. The center’s goal is to achieve a leading position for Bosch in AI by attracting top talent, conducting differentiating research, and applying AI for the transformation of Bosch towards an AI-driven IoT company.
Our mission: Inspire Creativity, Enrich Life. Founded in 2012, ByteDance is a technology company operating a range of content platforms that inform, educate, entertain, and inspire people across languages, cultures, and geographies. Dedicated to building global platforms of creation and interaction, ByteDance now has over 60,000 global employees and a portfolio of applications available in over 150 markets and 75 languages, including Toutiao, Douyin, Xigua Video, TikTok, Helo, Lark, and more.
Citadel is a leading investor in the world’s financial markets. Our global team works to help our capital partners achieve their financial goals. Citadel Securities is a leading quantitative trading firm and market maker. Both firms share a common commitment to bringing the brightest minds together to leverage cutting-edge techniques, such as machine learning, to solve some of the most complex research and technology problems in the world.
**ABOUT CITADEL**
For over a quarter of a century, we have sought to deliver industry leading investment returns to clients
including corporate pensions, endowments, foundations, public institutions, and sovereign wealth funds. Our global team works to help our clients’ capital fulfill its greatest potential across a diverse range of markets and investment strategies, including fixed income & macro, equities, quantitative, commodities and credit. For more information, [visit Citadel.com](www.citadel.com)
**ABOUT CITADEL SECURITIES**
Citadel Securities is a leading global market maker, delivering a broad array of fixed income and equity products to banks, broker dealers, government agencies, corporations, insurers, and sovereign wealth funds. Through innovation and efficiency, the firm provides liquidity with the goal of driving price discovery in more than 35 countries and making markets more competitive, open, and transparent. Since its founding more than 15 years ago, Citadel Securities has cultivated a culture of excellence, assembling the brightest minds in trading, technology, and the sciences to make better markets for a better world. For more information, [visit CitadelSecurities.com](www.CitadelSecurities.com)
Our media processing technologies for video, speech, and language processing are connecting the real world to cyberspace and expanding human activities to contribute to creating a safe, secure, and comfortable society.
We have built one of the world's most sophisticated computing environments for research and
development. Our researchers are at the forefront of innovation in the world of algorithmic trading. At HRT we come from all sorts of backgrounds: mathematics, computer science, statistics, physics, and engineering. We’re a community of self-starters who are motivated by the excitement of being at the cutting edge of automated trading. Our culture celebrates great ideas whether they come from HRT veterans or new hires. At HRT we’re friends and colleagues, whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office.
**Seem like something you might be interested in?**
Our goal is to find the best people and bring them together to do great work in a place where everyone is valued. HRT is proud of our diverse staff; we have offices all over the globe and benefit from our varied and unique perspectives. HRT is an equal opportunity employer; so whoever you are we’d love to get to know you.
Jane Street is a quantitative trading firm with a unique focus on technology and collaborative problem solving.
Microsoft has over 55 accepted papers and multiple workshops at ICML this week.
**You can find our full program on sessions, demos and live chat times here: [aka.ms/icml-2020](http://aka.ms/icml-2020).**
What's your expertise? Is it data science or neural networks? Advanced machine learning or artificial intelligence? Whatever your technical specialty, the National Security Agency has a position that combines your expertise with our mission: The safety and security of our families, our communities and our country. NSA applies advanced technical concepts to create groundbreaking solutions for safeguarding U.S. information and collecting foreign signals. To ensure success in hiring (and keeping) the best of the best, NSA continuously works to create a culture of caring. We encourage involvement in career building programs such as coaching and mentoring.
Research at Netflix is aimed at improving various aspects of our business. Research applications span many areas including our personalization algorithms, content valuation, and streaming optimization. To maximize the impact of our research, we do not centralize research into a separate organization. Instead, we have many teams that pursue research in collaboration with business teams, engineering teams, and other researchers. This allows for close partnerships between researchers and the business or engineering teams in each area. In addition, research that applies to the same
methodological area or business area is shared and highlighted in discussion and debate forums to strengthen the work and its impact. These forums also serve to identify and motivate future research directions.
Researchers at Netflix love working in a unique environment enabled by the Netflix Culture that values curiosity, courage with smart risks, innovation, science, rigor, and high impact. Across the company, we strive to run experiments to back our hypotheses up with evidence, which often uncover surprises that redirect or refine our research. We relish the freedom to try new ideas and the opportunity to debate their implications with colleagues spanning all parts and levels of the company, including our own CEO.
At Qualcomm AI Research, we are advancing AI to make its core capabilities – perception, reasoning, and action – ubiquitous across devices. Our mission is to make breakthroughs in fundamental AI research and scale them across industries. By bringing together some of the best minds in the field, we’re pushing the boundaries of what’s possible and shaping the future of AI.
Headed by Simon Lacoste-Julien, professor in computer science at Université de Montréal and co-founding member of Mila, SAIL is located in Mila's corporate space at the heart of the Montreal AI ecosystem nearby Element AI, Borealis AI, FAIR, Microsoft Research and others where an open collaborative environment is encouraged.
**Research Areas & Core Activities**
Key early research themes for the lab are optimization and generalization in machine learning, with applications to structured data such as in machine translation or speech recognition. Interaction with visitors from the AI and S/W research center from SAIT (Samsung Advanced Institute of Technology) in Korea is encouraged. Their research interests include deep learning, visual and speech recognition, autonomous driving, and chip design automation, among others.
Sberbank holds almost one-third of aggregate Russian banking sector assets, it is the key lender to the national economy and the biggest deposit taker in Russia. The Government of the Russian Federation represented by the Ministry of Finance of the Russian Federation is the principal shareholder of Sberbank owning 50% plus one voting share of the bank’s authorized capital, with the remaining 50% minus one share held by domestic and international investors. Sberbank has customers in 18 countries. Sberbank has the largest distribution network in Russia with about 14,000 branches, while its international operations – subsidiary banks, branches, and chapters – include the UK, US, CIS, Central and Eastern Europe, India, China, and other countries.
The bank holds general banking license No. 1481 issued by the Bank of Russia.
Official websites of the Bank: [Sberbank Group](www.sberbank.com), and [Sberbank](www.sberbank.ru) client site.
The D. E. Shaw group is a global investment and technology development firm. Founded in 1988 over a small bookstore in downtown New York City, we began with six employees and quickly became a pioneer in computational finance. Since then, we’ve built a reputation for successful investing based on persistent innovation, analytical rigor, careful risk management, and uniquely talented employees.
We’re focused on collaboration, not internal competition—teams work together to share trade ideas, identify and address risks, build tools, and explore new opportunities. Our staff includes world-class mathematicians, economists, physicists, computer scientists, analysts, business-builders, and system architects relying on specialized trading, operational, and compliance expertise developed over 30+ years.
Funded by VinGroup, the largest enterprise in Vietnam by capitalization, our mission is to conduct high-impact research that pushes the knowledge frontier in AI and to accelerate applications of AI in Vietnam, the Asia Pacific region, and beyond. Headed by its founding director, Dr. Hung H. Bui (formerly of Google DeepMind), this is the first AI research lab in Vietnam created with a focus on top-tier research and publications. The lab enjoys a world-class research facility, including ample access to computing infrastructure and GPUs. In addition, it will maintain active research collaboration with other top AI research labs around the world. The current research areas include machine learning, deep learning, computer vision, and natural language technologies.
Vingroup is one of the biggest private conglomerate in Asia with a market capitalization value of around US $16 billion. As a multi-sector corporation, Vingroup focuses on three main areas:
- Technology
- Industrials
- Property Services
Vingroup continues to pioneer and lead consumer trends in each of its businesses introducing Vietnamese consumers to a brand new, modern life-style with international-standard products and services. Vingroup has created a respected, well-recognized Vietnamese brand and is proud to be one of the nation’s leading private enterprises.
Waymo is a self-driving technology company with a mission to make it safe and easy for people and things to move around. With the Waymo Driver, we can improve the world’s mobility while saving thousands of lives.
**[Visit Our ICML 2020 Microsite](http://waymoevents.com/icml)**
Since its founding in Tokyo in 1915, Yokogawa has contributed to the development of a wide range of industries including oil, gas, chemicals, power, and iron & steel, and has established a global reputation as a leader in the control field. Yokogawa delivers comprehensive solutions that make use of machine learning and AI, and creates sustainable value through co-innovation with its customers.
Silver
Ant Financial Services Group, officially established in October 2014, is an innovative technology provider that aims to bring inclusive financial services to the world. Headquartered in Hangzhou, China, we are the operator of Alipay, an online payment service launched in 2004 which has since evolved into the world’s largest payment and lifestyle platform.
Autodesk makes software for people who make things. If you’ve ever driven a high-performance car, admired a towering skyscraper, used a smartphone, or watched a great film, chances are you’ve experienced what millions of Autodesk customers are doing with our software. Autodesk Research’s AI Lab is a global team, located in London, San Francisco, and Toronto.
BenevolentAI, founded in 2013, is an AI company developing and applying advanced technologies to accelerate the journey from data to medicine. The company combines the power of computational medicine and advanced AI with the principles of open systems and cloud computing to transform the way drugs are designed, developed, tested and brought to market.
PDT - Process Driven Trading - was founded by Peter Muller in 1993 as a quantitative proprietary trading group. Composed of a tight-knit community of researchers, engineers, and business professionals, our investment success is based on the philosophy that rigorous scientific research can uncover inefficiencies in financial markets. PDT was created to develop and systematically trade model driven strategies globally.
Point72 is a leading Hedge Fund. We have several specialized research groups that use machine learning to model skill and decision making in the public markets. We are building out our teams and looking to hire researchers and engineers with experience in deep learning, sequence modeling, natural language processing, and related problems.
Cubist Systematic Strategies, the quantitative investing business of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures, and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.
Tencent AI Lab, the corporate-level laboratory of Tencent, has more than 100 top research scientists and more than 300 application engineers working in the labs in China and the USA. we are continuously improving the AI capabilities of understanding, decision-making and creativity based on Tencent's profound application scenarios, computing infrastructures, and talent pool.
Founded in 1998 by Mark Gorton, Tower Research Capital is a trading and technology company that has built some of the fastest, most sophisticated electronic trading platforms in the world. We’re engineers and pioneers who use scientific principles to identify market opportunities and who think Mondays look better in jeans and a t-shirt.
XTX Markets is a world-leading algorithmic trading firm. We partner with clients, counterparties and trading venues globally to deliver liquidity across the Equity, FX, Fixed Income, and Commodity markets. XTX is headquartered in London with offices in Paris, New York, Mumbai and Singapore and we have 140 employees globally.
We build the breakthroughs that power Verizon Media’s communications, media, search, and advertising. With brands like Yahoo, Huffpost and AOL, our products operate at massive scale, reaching over one billion consumers and serving billions of ad units daily. Our size and scope make Yahoo Research a unique place for research scientists to redefine what’s possible with data.