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Author Information
Alexis Battle (Stanford University)
Gal Chechik (NVIDIA, Bar-Ilan University)
Daphne Koller (insitro)
Daphne Koller is the Rajeev Motwani Professor of Computer Science at Stanford University and the co-founder and co-CEO of Coursera, a social entrepreneurship company that works with the best universities to connect anyone around the world with the best education, for free. Coursera is the leading MOOC (Massive Open Online Course) platform, and has partnered with dozens of the world’s top universities to offer hundreds of courses in a broad range of disciplines to millions of students, spanning every country in the world. In her research life, she works in the area of machine learning and probabilistic modeling, with applications to systems biology and personalized medicine. She is the author of over 200 refereed publications in venues that span a range of disciplines, and has given over 15 keynote talks at major conferences. She is the recipient of many awards, which include the Presidential Early Career Award for Scientists and Engineers (PECASE), the MacArthur Foundation Fellowship, the ACM/Infosys award, and membership in the US National Academy of Engineering. She is also an award winning teacher, who pioneered in her Stanford class many of the ideas that underlie the Coursera user experience. She received her BSc and MSc from the Hebrew University of Jerusalem, and her PhD from Stanford in 1994.
More from the Same Authors
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2021 : Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning »
Guy Tennenholtz · Assaf Hallak · Gal Dalal · Shie Mannor · Gal Chechik · Uri Shalit -
2021 : Regression modeling on DNA encoded libraries »
Ralph Ma · Gabriel Dreiman · Fiorella Ruggiu · Adam Riesselman · Bowen Liu · Mohammad M Sultan · Daphne Koller -
2022 : Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs »
Benjamin Fuhrer · Yuval Shpigelman · Chen Tessler · Shie Mannor · Gal Chechik · Eitan Zahavi · Gal Dalal -
2022 : SoftTreeMax: Policy Gradient with Tree Search »
Gal Dalal · Assaf Hallak · Shie Mannor · Gal Chechik -
2022 : Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs »
Benjamin Fuhrer · Yuval Shpigelman · Chen Tessler · Shie Mannor · Gal Chechik · Eitan Zahavi · Gal Dalal -
2022 Poster: Reinforcement Learning with a Terminator »
Guy Tennenholtz · Nadav Merlis · Lior Shani · Shie Mannor · Uri Shalit · Gal Chechik · Assaf Hallak · Gal Dalal -
2021 Poster: Personalized Federated Learning With Gaussian Processes »
Idan Achituve · Aviv Shamsian · Aviv Navon · Gal Chechik · Ethan Fetaya -
2021 Poster: Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction »
Gal Dalal · Assaf Hallak · Steven Dalton · iuri frosio · Shie Mannor · Gal Chechik -
2020 Poster: A causal view of compositional zero-shot recognition »
Yuval Atzmon · Felix Kreuk · Uri Shalit · Gal Chechik -
2020 Spotlight: A causal view of compositional zero-shot recognition »
Yuval Atzmon · Felix Kreuk · Uri Shalit · Gal Chechik -
2019 : In conversations: Daphne Koller and Barbara Englehardt »
Daphne Koller · Barbara Engelhardt -
2018 Poster: Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction »
Roei Herzig · Moshiko Raboh · Gal Chechik · Jonathan Berant · Amir Globerson -
2016 : CV @ Scale Challenges »
Manohar Paluri · Gal Chechik -
2016 Workshop: Large Scale Computer Vision Systems »
Manohar Paluri · Lorenzo Torresani · Gal Chechik · Dario Garcia · Du Tran -
2014 Workshop: Analyzing the omics of the brain »
Michael Hawrylycz · Gal Chechik · Mark Reimers -
2013 Invited Talk: The Online Revolution: Learning without Limits »
Daphne Koller -
2012 Poster: Shifting Weights: Adapting Object Detectors from Image to Video »
Kevin Tang · Vignesh Ramanathan · Li Fei-Fei · Daphne Koller -
2011 Poster: Active Classification based on Value of Classifier »
Tianshi Gao · Daphne Koller -
2011 Spotlight: Active Classification based on Value of Classifier »
Tianshi Gao · Daphne Koller -
2010 Spotlight: Online Learning in The Manifold of Low-Rank Matrices »
Uri Shalit · Daphna Weinshall · Gal Chechik -
2010 Poster: Online Learning in The Manifold of Low-Rank Matrices »
Uri Shalit · Daphna Weinshall · Gal Chechik -
2010 Poster: Self-Paced Learning for Latent Variable Models »
M. Pawan Kumar · Benjamin D Packer · Daphne Koller -
2009 Workshop: Machine Learning in Computational Biology »
Gal Chechik · Tomer Hertz · William S Noble · Yanjun Qi · Jean-Philippe Vert · Alexander Zien -
2009 Mini Symposium: Machine Learning in Computational Biology »
Yanjun Qi · Jean-Philippe Vert · Gal Chechik · Alexander Zien · Tomer Hertz · William S Noble -
2009 Poster: Region-based Segmentation and Object Detection »
Stephen Gould · Tianshi Gao · Daphne Koller -
2009 Spotlight: Region-based Segmentation and Object Detection »
Stephen Gould · Tianshi Gao · Daphne Koller -
2009 Poster: Learning a Small Mixture of Trees »
M. Pawan Kumar · Daphne Koller -
2009 Poster: An Online Algorithm for Large Scale Image Similarity Learning »
Gal Chechik · Uri Shalit · Varun Sharma · Samy Bengio -
2008 Workshop: Machine Learning in Computational Biology »
Gal Chechik · Christina Leslie · Quaid Morris · William S Noble · Gunnar Rätsch -
2008 Mini Symposium: Machine Learning in Computational Biology »
Gal Chechik · Christina Leslie · Quaid Morris · William S Noble · Gunnar Rätsch -
2008 Oral: Cascaded Classification Models: Combining Models for Holistic Scene Understanding »
Geremy Heitz · Stephen Gould · Ashutosh Saxena · Daphne Koller -
2008 Poster: Cascaded Classification Models: Combining Models for Holistic Scene Understanding »
Geremy Heitz · Stephen Gould · Ashutosh Saxena · Daphne Koller -
2008 Poster: LOOPS: Localizing Object Outlines using Probabilistic Shape »
Geremy Heitz · Gal Elidan · Benjamin D Packer · Daphne Koller -
2007 Workshop: Machine Learning in Computational Biology (Part 2) »
Gal Chechik · Christina Leslie · Quaid Morris · William S Noble · Gunnar Rätsch · Koji Tsuda -
2007 Workshop: Machine Learning in Computational Biology (Part 1) »
Gal Chechik · Christina Leslie · Quaid Morris · William S Noble · Gunnar Rätsch · Koji Tsuda -
2007 Demonstration: Holistic Scene Understanding from Visual and Range Data »
Stephen Gould · Morgan Quigley · Andrew Y Ng · Daphne Koller -
2006 Workshop: New Problems and Methods in Computational Biology »
Gal Chechik · Quaid Morris · Koji Tsuda · Gunnar Rätsch · Christina Leslie · William S Noble -
2006 Poster: Max-margin classification of incomplete data »
Gal Chechik · Geremy Heitz · Gal Elidan · Pieter Abbeel · Daphne Koller -
2006 Poster: Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Task »
Alexis Battle · Gal Chechik · Daphne Koller -
2006 Spotlight: Max-margin classification of incomplete data »
Gal Chechik · Geremy Heitz · Gal Elidan · Pieter Abbeel · Daphne Koller -
2006 Poster: Using Combinatorial Optimization within Max-Product Belief Propagation »
John Duchi · Danny Tarlow · Gal Elidan · Daphne Koller -
2006 Spotlight: Using Combinatorial Optimization within Max-Product Belief Propagation »
John Duchi · Danny Tarlow · Gal Elidan · Daphne Koller -
2006 Poster: Efficient Structure Learning of Markov Networks using L1-Regularization »
Su-In Lee · Varun Ganapathi · Daphne Koller -
2006 Poster: Efficient sparse coding algorithms, end-stopping and nCRF surround suppression »
Honglak Lee · Alexis Battle · Raina Rajat · Andrew Y Ng