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Defining the technology of today and tomorrow.

Philosophy

We strive to create an environment conducive to many different types of research across many different time scales and levels of risk.
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Philosophy

People

Our researchers drive advancements in computer science through both fundamental and applied research.
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People
Research areas

Explore all research areas

Explore all research areas

Foundational ML & Algorithms

Algorithms & Theory

Data Management

Data Mining & Modeling

Information Retrieval & the Web

Machine Intelligence

Machine Perception

Machine Translation

Natural Language Processing

Speech Processing

Algorithms & Theory

Data Management

Data Mining & Modeling

Information Retrieval & the Web

Machine Intelligence

Machine Perception

Machine Translation

Natural Language Processing

Speech Processing

Computing Systems & Quantum AI

Distributed Systems & Parallel Computing

Hardware & Architecture

Mobile Systems

Networking

Quantum Computing

Robotics

Security, Privacy, & Abuse Prevention

Software Engineering

Software Systems

Distributed Systems & Parallel Computing

Hardware & Architecture

Mobile Systems

Networking

Quantum Computing

Robotics

Security, Privacy, & Abuse Prevention

Software Engineering

Software Systems

Science, AI & Society

Climate & Sustainability

Economics & Electronic Commerce

Education Innovation

General Science

Health & Bioscience

Human-Computer Interaction and Visualization

Climate & Sustainability

Economics & Electronic Commerce

Education Innovation

General Science

Health & Bioscience

Human-Computer Interaction and Visualization
Projects

We regularly open-source projects with the broader research community and apply our developments to Google products.
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Projects

Publications

Publishing our work allows us to share ideas and work collaboratively to advance the field of computer science.
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Publications

Resources

We make products, tools, and datasets available to everyone with the goal of building a more collaborative ecosystem.
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Resources
Shaping the future, together.
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Student programs

Supporting the next generation of researchers through a wide range of programming.
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Student programs

Faculty programs

Participating in the academic research community through meaningful engagement with university faculty.
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Faculty programs

Conferences & events

Connecting with the broader research community through events is essential for creating progress in every aspect of our work.
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Conferences & events

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Careers
Blog

Jayden Ooi

Research Areas

Machine Intelligence

Authored Publications

Google

Towards Content Provider-Aware Recommendation Systems: A Simulation Study on Interplays among User and Provider Utilities

Ruohan Zhan

Konstantina Christakopoulou

Elaine Le

Jayden Ooi

Martin Mladenov

Alex Beutel

Craig Boutilier

Ed H. Chi

Minmin Chen

Ljubljana, Slovenia, pp. 3872-3883

ConQUR: Mitigating Delusional Bias in Deep Q-learning

DiJia (Andy) Su

Jayden Ooi

Tyler Lu

Dale Schuurmans

Craig Boutilier

Proceedings of the Thirty-seventh International Conference on Machine Learning (ICML-20), Vienna, Austria (2020)

BRPO: Batch Residual Policy Optimization

Sungryull Sohn

Yinlam Chow

Jayden Ooi

Ofir Nachum

Honglak Lee

Ed Chi

Craig Boutilier

Proceedings of the Twenty-ninth International Joint Conference on Artificial Intelligence (IJCAI-20), Yokohama, Japan (2020), pp. 2824-2830

Advantage Amplification in Slowly Evolving Latent-State Environments

Martin Mladenov

Ofer Meshi

Jayden Ooi

Dale Schuurmans

Craig Boutilier

Proceedings of the Twenty-eighth International Joint Conference on Artificial Intelligence (IJCAI-19), Macau, China (2019), pp. 3165-3172

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