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Author Information
Christopher Ré (Stanford)

Christopher (Chris) Re is an associate professor in the Department of Computer Science at Stanford University. He is in the Stanford AI Lab and is affiliated with the Machine Learning Group and the Center for Research on Foundation Models. His recent work is to understand how software and hardware systems will change because of machine learning along with a continuing, petulant drive to work on math problems. Research from his group has been incorporated into scientific and humanitarian efforts, such as the fight against human trafficking, along with products from technology and companies including Apple, Google, YouTube, and more. He has also cofounded companies, including Snorkel, SambaNova, and Together, and a venture firm, called Factory. His family still brags that he received the MacArthur Foundation Fellowship, but his closest friends are confident that it was a mistake. His research contributions have spanned database theory, database systems, and machine learning, and his work has won best paper at a premier venue in each area, respectively, at PODS 2012, SIGMOD 2014, and ICML 2016. Due to great collaborators, he received the NeurIPS 2020 test-of-time award and the PODS 2022 test-of-time award. Due to great students, he received best paper at MIDL 2022, best paper runner up at ICLR22 and ICML22, and best student-paper runner up at UAI22.
More from the Same Authors
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2021 : Correct-N-Contrast: A Contrastive Approach for Improving Robustness to Spurious Correlations »
Michael Zhang · Nimit Sohoni · Hongyang Zhang · Chelsea Finn · Christopher Ré -
2021 Poster: Scatterbrain: Unifying Sparse and Low-rank Attention »
Beidi Chen · Tri Dao · Eric Winsor · Zhao Song · Atri Rudra · Christopher Ré -
2020 : Tree Covers: An Alternative to Metric Embeddings »
Roshni Sahoo · Ines Chami · Christopher Ré -
2020 Poster: No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems »
Nimit Sohoni · Jared Dunnmon · Geoffrey Angus · Albert Gu · Christopher Ré -
2016 Poster: Scan Order in Gibbs Sampling: Models in Which it Matters and Bounds on How Much »
Bryan He · Christopher M De Sa · Ioannis Mitliagkas · Christopher Ré -
2016 Poster: Data Programming: Creating Large Training Sets, Quickly »
Alexander Ratner · Christopher M De Sa · Sen Wu · Daniel Selsam · Christopher Ré -
2015 : Hardware Trends for High Performance Analytics »
Christopher Ré -
2015 : Taking it Easy »
Christopher Ré -
2015 Spotlight: Rapidly Mixing Gibbs Sampling for a Class of Factor Graphs Using Hierarchy Width »
Christopher M De Sa · Ce Zhang · Kunle Olukotun · Christopher Ré · Christopher Ré -
2015 Poster: Taming the Wild: A Unified Analysis of Hogwild-Style Algorithms »
Christopher M De Sa · Ce Zhang · Kunle Olukotun · Christopher Ré · Christopher Ré