NOTICE: The 2017 ICML conference may close registration ahead of the declared deadline in case it reaches the capacity limits of the convention center. There may be no onsite registration. Please register early.

ICML 2017 Sponsors

We gratefully acknowledge the following sponsors of ICML 2016, 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.


NVIDIA (NASDAQ: NVDA) is a computer technology company that has pioneered GPU-accelerated computing. It targets the world’s most demanding users — gamers, designers and scientists — with products, services and software that power amazing experiences in virtual reality, artificial intelligence, professional visualization and autonomous cars. More information at


Giving people the power to share and connect requires constant innovation. At Facebook, research permeates everything we do. We believe the most interesting research questions are derived from real world problems. Working on cutting edge research with a practical focus, we push product boundaries every day. At the same time, we publish papers, give talks, and collaborate broadly with the academic community.

Research at Google tackles the most challenging problems in Computer Science and related fields. Being bold and taking risks is essential to what we do, and research teams are embedded throughout Google allowing our discoveries to affect billions of users each day. is the largest e-commerce company in China and the largest Chinese retailer, both in terms of revenue. The company strives to offer consumers the best online shopping experience. Through its user-friendly website, native mobile apps, and WeChat and Mobile QQ entry points, JD offers consumers a superior shopping experience. The company has the largest fulfillment infrastructure of any e-commerce company in China. As of March 31, 2017, operated 7 fulfillment centers and 263 warehouses covering 2,672 counties and districts across China, staffed by its own employees. is a member of the NASDAQ100 and a Fortune Global 500 company.

At DeepMind, our mission is to solve intelligence and then use that to make the world a better place. Our motivation in all we do is to maximise the positive and transformative impact of AI. We believe that AI should ultimately belong to the world, in order to benefit the many and not the few, and we steadfastly research, publish and implement our work to that end.

When launched in 1995, it was with the mission “to be Earth’s most customer-centric company, where customers can find and discover anything they might want to buy online, and endeavors to offer its customers the lowest possible prices.” This goal continues today, but Amazon’s customers are worldwide now, and have grown to include millions of Consumers, Sellers, Content Creators, and Developers & Enterprises. Each of these groups has different needs, and we always work to meet those needs, innovating new solutions to make things easier, faster, better, and more cost-effective. To learn more about Machine Learning @ Amazon, visit:


Netflix is the world’s leading Internet television network with over 93 million members in over 190 countries enjoying more than 125 million hours of TV shows and movies per day. Machine Learning is critical to Netflix and powers important areas such as our personalized recommendation systems, our search algorithms, and how we build our content library.

ALIBABA GROUP'S MISSION IS TO MAKE IT EASY TO DO BUSINESS ANYWHERE. Our businesses are comprised of core commerce, cloud computing, digital media and entertainment, innovation initiatives and others. Through investee affiliates, we also participate in the logistics and local services sectors.

Ant Financial Services Group was originated from Alipay. It is dedicated to creating an open ecosystem, enabling financial institutions to make rapid progress,and providing inclusive financial services to small and micro enterprises and individual consumers.

Celebrating more than a decade in the financial markets sector, Tibra is a quantitative research and investment group that uses its shareholders’ capital across a broad range of investment strategies. Founded in Wollongong, NSW, today Tibra spans the globe, employing approximately 100 professionals throughout offices in London, Sydney, Wollongong, Dubai and Hong Kong.

American International Group, Inc. (AIG®)'s vision is to become its clients' most valued insurer. For the past 100 years, AIG has been a leading international insurance organisation serving customers in more than 100 countries and jurisdictions. AIG believes that harnessing the power of machine learning and deep learning techniques is essential to go beyond merely generating new insights from data but also to systematically enhance individual human judgement in real business contexts. If you also feel passionate about evidence-based decision making across the world, connect with AIG!

Yandex is one of the largest internet companies in Europe, operating Russia’s most popular search engine. We provide user-centric products and services based on the latest innovations in information retrieval, machine learning and machine intelligence to a worldwide customer audience on all digital platforms and devices.

SigOpt is an optimization platform that seamlessly tunes AI and ML model parameters through a state-of-the-art ensemble of Bayesian and global optimization algorithms behind a simple API. This results in captured performance left on the table by conventional techniques and reduces the time and cost for developing and optimizing models. SigOpt can tune any predictive or machine learning model right in place, and the federated API design ensures no proprietary data leaves your premises. Customers can access a web interface or an API to easily integrate SigOpt into any workflow.

At Two Sigma, we imagine breakthroughs in investment management, insurance and related fields by pushing the boundaries of what open source and proprietary technology can do. Our engineers and modelers harness data at tremendous scale, using machine learning, distributed computing and other technologies to build powerful predictive models.

Tencent AI Lab is joint by 50 world-class AI scientists, researchers and experts. We concentrate on game AI, content AI and social AI. We focus on artificial intelligence (AI) related research fields such as machine learning, computer vision, speech recognition, and natural language processing. Building on Tencent’s massive data from hundreds of millions of users and its technical advantages in the vertical fields of Internet, we aim build the top artificial intelligence team.

Maluuba, a Microsoft company, is a leader in using deep reinforcement learning to solve language-understanding problems and in training machines to model decision-making capabilities of the human brain. Based in the AI epicenter of Montreal, we operate one of the world's leading research labs dedicated to solving artificial intelligence through natural language understanding. Our team of renowned experts are dedicated to tackling reasoning, decision making and communication in machines through groundbreaking research.

At Microsoft, we aim to empower every person and every organization on the planet to achieve more. We care deeply about having a global perspective and making a difference in lives and organizations in all corners of the planet. This involves playing a small part in the most fundamental of human activities: Creating tools that enable each of us along our journey to become something more.

Tackling Today’s Biggest Challenges. The Mission of Oracle Labs is straightforward: Identify, explore, and transfer new technologies that have the potential to substantially improve Oracle's business. Oracle's commitment to R&D is a driving factor in the development of technologies that have kept Oracle at the forefront of the computer industry.

Uber’s mission is to make transportation as reliable as running water—everywhere, for everyone. We started in 2010 to solve a simple problem: how do you get a ride at the touch of a button? Seven years and more than two billion trips later, we’ve started tackling an even greater challenge: reducing congestion and pollution in our cities by getting more people into fewer cars.


We make a difference for the future. Recruit Communications is a company that plays a role in creating a competitive advantage of entire Recruit Group in advertising and marketing. We face our customers in sincerity to solve their own problems and make their hope real.

Founded in 2007 by leading machine learning scientists, The Voleon Group designs, develops, and implements advanced technology for investment management. We are committed to solving large-scale financial prediction problems with statistical machine learning.

The D. E. Shaw group is a global investment and technology development firm with more than $41 billion in investment capital as of January 1, 2017, and offices in North America, Europe, and Asia. Since our founding in 1988, our firm has earned an international reputation for successful investing based on innovation, careful risk management, and the quality and depth of our staff.

coming soon.


Cisco designs and sells products, provides services, and delivers integrated solutions to develop and connect networks around the world. We are focused on helping our customers use IT to enable, differentiate, or fundamentally define their business strategy and drive growth, improve productivity, reduce costs, mitigate risk, and gain a competitive advantage in an increasingly digital world.

Adobe is the global leader in digital marketing and digital media solutions. Our tools and services allow our customers to create groundbreaking digital content, deploy it across media and devices, measure and optimize it over time and achieve greater business success. We help our customers make, manage, measure and monetize their content across every channel and screen.

TRI's mission is to use artificial intelligence to improve the quality of human life. We are dedicated to making automobiles safer, more affordable, and more accessible to everyone, regardless of age or ability, and to expanding the benefit of mobility technology beyond automobiles, for example to in-home support of older persons and those with special needs.