Chris Piech

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 82

Top Topics

Variational Inference

Programming Exercises

Language Proficiency

Item Response Theory

Top Venues

Publications

Thomas Jefferson, Chris Gregg, Chris Piech
PyodideU: Unlocking Python Entirely in a Browser for CS1. SIGCSE (1) (2024)
Juliette Woodrow, Ali Malik, Chris Piech
AI Teaches the Art of Elegant Coding: Timely, Fair, and Helpful Style Feedback in a Global Course. CoRR (2024)
Allen Nie, Yash Chandak, Miroslav Suzara, Ali Malik, Juliette Woodrow, Matt Peng, Mehran Sahami, Emma Brunskill, Chris Piech
The GPT Surprise: Offering Large Language Model Chat in a Massive Coding Class Reduced Engagement but Increased Adopters Exam Performances. CoRR (2024)
Ali Malik, Juliette Woodrow, Chao Wang, Chris Piech
TeachNow: Enabling Teachers to Provide Spontaneous, Realtime 1: 1 Help in Massive Online Courses. CoRR (2024)
Ali Malik, Stephen Mayhew, Chris Piech, Klinton Bicknell
From Tarzan to Tolkien: Controlling the Language Proficiency Level of LLMs for Content Generation. CoRR (2024)
Ali Malik, Juliette Woodrow, Chris Piech
Learners Teaching Novices: An Uplifting Alternative Assessment. SIGCSE (1) (2024)
Sonja Johnson-Yu, Nicholas Bowman, Mehran Sahami, Chris Piech
SimGrade: Using Code Similarity Measures for More Accurate Human Grading. CoRR (2024)
Evan Zheran Liu, David Yuan, Ahmed Ahmed, Elyse Cornwall, Juliette Woodrow, Kaylee Burns, Allen Nie, Emma Brunskill, Chris Piech, Chelsea Finn
A Fast and Accurate Machine Learning Autograder for the Breakout Assignment. SIGCSE (1) (2024)
Sierra Wang, John C. Mitchell, Chris Piech
A Large Scale RCT on Effective Error Messages in CS1. SIGCSE (1) (2024)
Ali Malik, Juliette Woodrow, Chao Wang, Chris Piech
TeachNow: Enabling Teachers to Provide Spontaneous, Realtime 1: 1 Help in Massive Online Courses. ITiCSE (1) (2024)
Sierra Wang, John C. Mitchell, Nick Haber, Chris Piech
Math IDE: A Platform for Creating with Math. SIGCSE (2) (2024)
Ali Malik, Juliette Woodrow, Chris Piech
Learners Teaching Novices: An Uplifting Alternative Assessment. CoRR (2024)
Md Sazzad Islam, Moussa Koulako Bala Doumbouya, Christopher D. Manning, Chris Piech
Handwritten Code Recognition for Pen-and-Paper CS Education. L@S (2024)
Juliette Woodrow, Ali Malik, Chris Piech
AI Teaches the Art of Elegant Coding: Timely, Fair, and Helpful Style Feedback in a Global Course. SIGCSE (1) (2024)
Yunsung Kim, Chris Piech
The Student Zipf Theory: Inferring Latent Structures in Open-Ended Student Work To Help Educators. LAK (2023)
Moussa Doumbouya, Baba Mamadi Diané, Solo Farabado Cissé, Djibrila Diané, Abdoulaye Sow, Séré Moussa Doumbouya, Daouda Bangoura, Fodé Moriba Bayo, Ibrahima Sory 2. Condé, Kalo Mory Diané, Chris Piech, Christopher Manning
Machine Translation for Nko: Tools, Corpora, and Baseline Results. WMT (2023)
Moussa Koulako Bala Doumbouya, Baba Mamadi Diané, Solo Farabado Cissé, Djibrila Diané, Abdoulaye Sow, Séré Moussa Doumbouya, Daouda Bangoura, Fodé Moriba Bayo, Ibrahima Sory 2. Condé, Kalo Mory Diané, Chris Piech, Christopher Manning
Machine Translation for Nko: Tools, Corpora and Baseline Results. CoRR (2023)
Anaïs Tack, Ekaterina Kochmar, Zheng Yuan, Serge Bibauw, Chris Piech
The BEA 2023 Shared Task on Generating AI Teacher Responses in Educational Dialogues. CoRR (2023)
Charis Charitsis, Chris Piech, John C. Mitchell
Detecting the Reasons for Program Decomposition in CS1 and Evaluating Their Impact. SIGCSE (1) (2023)
Yunsung Kim, Chris Piech
High-Resolution Course Feedback: Timely Feedback Mechanism for Instructors. L@S (2023)
Allen Nie, Yuhui Zhang, Atharva Amdekar, Chris Piech, Tatsunori B. Hashimoto, Tobias Gerstenberg
MoCa: Measuring Human-Language Model Alignment on Causal and Moral Judgment Tasks. NeurIPS (2023)
Colin Sullivan, Mo Tiwari, Sebastian Thrun, Chris Piech
Bayesian Decision Trees via Tractable Priors and Probabilistic Context-Free Grammars. CoRR (2023)
Julia M. Markel, Steven G. Opferman, James A. Landay, Chris Piech
GPTeach: Interactive TA Training with GPT-based Students. L@S (2023)
Anaïs Tack, Ekaterina Kochmar, Zheng Yuan, Serge Bibauw, Chris Piech
The BEA 2023 Shared Task on Generating AI Teacher Responses in Educational Dialogues. BEA@ACL (2023)
Vincent Aleven, Richard G. Baraniuk, Emma Brunskill, Scott Crossley, Dora Demszky, Stephen Fancsali, Shivang Gupta, Kenneth R. Koedinger, Chris Piech, Steven Ritter, Danielle R. Thomas, Simon Woodhead, Wanli Xing
Towards the Future of AI-Augmented Human Tutoring in Math Learning. AIED (Posters/Late Breaking Results/...) (2023)
Yunsung Kim, Sreechan Sankaranarayanan, Chris Piech, Candace Thille
Variational Temporal IRT: Fast, Accurate, and Explainable Inference of Dynamic Learner Proficiency. EDM (2023)
Yunsung Kim, Sreechan Sankaranarayanan, Chris Piech, Candace Thille
Variational Temporal IRT: Fast, Accurate, and Explainable Inference of Dynamic Learner Proficiency. CoRR (2023)
Mo Tiwari, Ryan Kang, Donghyun Lee, Sebastian Thrun, Chris Piech, Ilan Shomorony, Martin Jinye Zhang
BanditPAM++: Faster k-medoids Clustering. CoRR (2023)
Allen Nie, Yuhui Zhang, Atharva Amdekar, Chris Piech, Tatsunori Hashimoto, Tobias Gerstenberg
MoCa: Measuring Human-Language Model Alignment on Causal and Moral Judgment Tasks. CoRR (2023)
Charis Charitsis, Chris Piech, John C. Mitchell
Function Names: Quantifying the Relationship Between Identifiers and Their Functionality to Improve Them. L@S (2022)
Mo Tiwari, Ryan Kang, Je-Yong Lee, Luke Lee, Chris Piech, Sebastian Thrun, Ilan Shomorony, Martin Jinye Zhang
Faster Maximum Inner Product Search in High Dimensions. CoRR (2022)
Charis Charitsis, Chris Piech, John C. Mitchell
Feedback on Program Development Process for CS1 Students. SIGCSE (2) (2022)
Anaïs Tack, Chris Piech
The AI Teacher Test: Measuring the Pedagogical Ability of Blender and GPT-3 in Educational Dialogues. EDM (2022)
Mo Tiwari, Ryan Kang, Je-Yong Lee, Sebastian Thrun, Chris Piech, Ilan Shomorony, Martin Jinye Zhang
MABSplit: Faster Forest Training Using Multi-Armed Bandits. CoRR (2022)
Evan Zheran Liu, Moritz Stephan, Allen Nie, Chris Piech, Emma Brunskill, Chelsea Finn
Giving Feedback on Interactive Student Programs with Meta-Exploration. NeurIPS (2022)
Charis Charitsis, Chris Piech, John C. Mitchell
Using NLP to Quantify Program Decomposition in CS1. L@S (2022)
Mo Tiwari, Ryan Kang, Jaeyong Lee, Chris Piech, Ilan Shomorony, Sebastian Thrun, Martin J. Zhang
MABSplit: Faster Forest Training Using Multi-Armed Bandits. NeurIPS (2022)
Evan Zheran Liu, Moritz Stephan, Allen Nie, Chris Piech, Emma Brunskill, Chelsea Finn
Giving Feedback on Interactive Student Programs with Meta-Exploration. CoRR (2022)
Anaïs Tack, Chris Piech
The AI Teacher Test: Measuring the Pedagogical Ability of Blender and GPT-3 in Educational Dialogues. CoRR (2022)
Allen Nie, Emma Brunskill, Chris Piech
Play to Grade: Testing Coding Games as Classifying Markov Decision Process. NeurIPS (2021)
Mike Wu, Noah D. Goodman, Chris Piech, Chelsea Finn
ProtoTransformer: A Meta-Learning Approach to Providing Student Feedback. CoRR (2021)
Charis Charitsis, Chris Piech, John C. Mitchell
Simplifying Automated Assessment in CS1. ICETM (2021)
Charis Charitsis, Chris Piech, John C. Mitchell
Assessing Function Names and Quantifying the Relationship Between Identifiers and Their Functionality to Improve Them. L@S (2021)
Moussa Doumbouya, Lisa Einstein, Chris Piech
Using Radio Archives for Low-Resource Speech Recognition: Towards an Intelligent Virtual Assistant for Illiterate Users. AAAI (2021)
Allen Nie, Emma Brunskill, Chris Piech
Play to Grade: Testing Coding Games as Classifying Markov Decision Process. CoRR (2021)
Ali Malik, Mike Wu, Vrinda Vasavada, Jinpeng Song, Madison Coots, John Mitchell, Noah D. Goodman, Chris Piech
Generative Grading: Near Human-level Accuracy for Automated Feedback on Richly Structured Problems. EDM (2021)
Mike Wu, Richard Lee Davis, Benjamin W. Domingue, Chris Piech, Noah D. Goodman
Modeling Item Response Theory with Stochastic Variational Inference. CoRR (2021)
Sonja Johnson-Yu, Nicholas Bowman, Mehran Sahami, Chris Piech
SimGrade: Using Code Similarity Measures for More Accurate Human Grading. EDM (2021)
Moussa Doumbouya, Lisa Einstein, Chris Piech
Using Radio Archives for Low-Resource Speech Recognition: Towards an Intelligent Virtual Assistant for Illiterate Users. CoRR (2021)
Maxwell Bigman, Ethan Roy, Jorge Garcia, Miroslav Suzara, Kaili Wang, Chris Piech
PearProgram: A More Fruitful Approach to Pair Programming. SIGCSE (2021)
Mo Tiwari, Martin Jinye Zhang, James Mayclin, Sebastian Thrun, Chris Piech, Ilan Shomorony
BanditPAM: Almost Linear Time k-Medoids Clustering via Multi-Armed Bandits. NeurIPS (2020)
Serhat Arslan, Mo Tiwari, Chris Piech
Using Google Search Trends to Estimate Global Patterns in Learning. L@S (2020)
Mike Wu, Richard Lee Davis, Benjamin W. Domingue, Chris Piech, Noah D. Goodman
Variational Item Response Theory: Fast, Accurate, and Expressive. CoRR (2020)
Mo Tiwari, Martin Jinye Zhang, James Mayclin, Sebastian Thrun, Chris Piech, Ilan Shomorony
Bandit-PAM: Almost Linear Time k-Medoids Clustering via Multi-Armed Bandits. CoRR (2020)
Chris Piech, Lisa Yan, Lisa Einstein, Ana Saavedra, Baris Bozkurt, Eliska Sestáková, Ondrej Guth, Nick McKeown
Co-Teaching Computer Science Across Borders: Human-Centric Learning at Scale. L@S (2020)
Mike Wu, Richard Lee Davis, Benjamin W. Domingue, Chris Piech, Noah D. Goodman
Variational Item Response Theory: Fast, Accurate, and Expressive. EDM (2020)
Chris Piech, Engin Bumbacher, Richard Lee Davis
Measuring Ability-to-Learn Using Parametric Learning Gain Functions. EDM (2020)
Chris Piech, Ali Malik, Laura M. Scott, Robert T. Chang, Charles Lin
The Stanford Acuity Test: A Precise Vision Test Using Bayesian Techniques and a Discovery in Human Visual Response. AAAI (2020)
Chris Piech, Sami Abu-El-Haija
Human Languages in Source Code: Auto-Translation for Localized Instruction. L@S (2020)
Chris Piech, Sami Abu-El-Haija
Human Languages in Source Code: Auto-Translation for Localized Instruction. CoRR (2019)
Chris Piech, Ali Malik, Laura M. Scott, Robert T. Chang, Charles Lin
The Stanford Acuity Test: A Probabilistic Approach for Precise Visual Acuity Testing. CoRR (2019)
Mike Wu, Milan Mosse, Noah D. Goodman, Chris Piech
Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference. AAAI (2019)
Ali Malik, Mike Wu, Vrinda Vasavada, Jinpeng Song, John Mitchell, Noah D. Goodman, Chris Piech
Generative Grading: Neural Approximate Parsing for Automated Student Feedback. CoRR (2019)
Lisa Yan, Nick McKeown, Chris Piech
The PyramidSnapshot Challenge: Understanding Student Process from Visual Output of Programs. SIGCSE (2019)
Noah Arthurs, Ben Stenhaug, Sergey Karayev, Chris Piech
Grades are not Normal: Improving Exam Score Models Using the Logit-Normal Distribution. EDM (2019)
Nate Gruver, Ali Malik, Brahm Capoor, Chris Piech, Mitchell L. Stevens, Andreas Paepcke
Using Latent Variable Models to Observe Academic Pathways. EDM (2019)
Lisa Yan, Annie Hu, Chris Piech
Pensieve: Feedback on Coding Process for Novices. SIGCSE (2019)
Nate Gruver, Ali Malik, Brahm Capoor, Chris Piech, Mitchell L. Stevens, Andreas Paepcke
Using Latent Variable Models to Observe Academic Pathways. CoRR (2019)
Christina Wadsworth, Francesca Vera, Chris Piech
Achieving Fairness through Adversarial Learning: an Application to Recidivism Prediction. CoRR (2018)
Chris Piech, Chris Gregg
BlueBook: A Computerized Replacement for Paper Tests in Computer Science. SIGCSE (2018)
Lisa Yan, Nick McKeown, Mehran Sahami, Chris Piech
TMOSS: Using Intermediate Assignment Work to Understand Excessive Collaboration in Large Classes. SIGCSE (2018)
Mike Wu, Milan Mosse, Noah D. Goodman, Chris Piech
Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference. CoRR (2018)
Thomas W. Price, Neil C. C. Brown, Chris Piech, Kelly Rivers
Sharing and Using Programming Log Data (Abstract Only). SIGCSE (2017)
Lisa Wang, Angela Sy, Larry Liu, Chris Piech
Deep Knowledge Tracing On Programming Exercises. L@S (2017)
Lisa Wang, Angela Sy, Larry Liu, Chris Piech
Learning to Represent Student Knowledge on Programming Exercises Using Deep Learning. EDM (2017)
Mehran Sahami, Chris Piech
As CS Enrollments Grow, Are We Attracting Weaker Students? SIGCSE (2016)
Chris Piech, Jonathan Huang, Andy Nguyen, Mike Phulsuksombati, Mehran Sahami, Leonidas J. Guibas
Learning Program Embeddings to Propagate Feedback on Student Code. ICML (2015)
Chris Piech, Jonathan Huang, Andy Nguyen, Mike Phulsuksombati, Mehran Sahami, Leonidas J. Guibas
Learning Program Embeddings to Propagate Feedback on Student Code. CoRR (2015)
Rob Semmens, Chris Piech, Michèlle Friend
Who Are You? We Really Wanna Know... Especially If You Think You're Like a Computer Scientist. GenderIT (2015)
Chris Piech, Mehran Sahami, Jonathan Huang, Leonidas J. Guibas
Autonomously Generating Hints by Inferring Problem Solving Policies. L@S (2015)
Chris Piech, Jonathan Bassen, Jonathan Huang, Surya Ganguli, Mehran Sahami, Leonidas J. Guibas, Jascha Sohl-Dickstein
Deep Knowledge Tracing. NIPS (2015)
Chris Piech, Jonathan Spencer, Jonathan Huang, Surya Ganguli, Mehran Sahami, Leonidas J. Guibas, Jascha Sohl-Dickstein
Deep Knowledge Tracing. CoRR (2015)
René F. Kizilcec, Chris Piech, Emily Schneider
Deconstructing disengagement: analyzing learner subpopulations in massive open online courses. LAK (2013)
Chris Piech, Jonathan Huang, Zhenghao Chen, Chuong B. Do, Andrew Y. Ng, Daphne Koller
Tuned Models of Peer Assessment in MOOCs. EDM (2013)
Chris Piech, Jonathan Huang, Zhenghao Chen, Chuong B. Do, Andrew Y. Ng, Daphne Koller
Tuned Models of Peer Assessment in MOOCs. CoRR (2013)
Jonathan Huang, Chris Piech, Andy Nguyen, Leonidas J. Guibas
Syntactic and Functional Variability of a Million Code Submissions in a Machine Learning MOOC. AIED Workshops (2013)
Chris Piech, Mehran Sahami, Daphne Koller, Steve Cooper, Paulo Blikstein
Modeling how students learn to program. SIGCSE (2012)