Chris White

Vice President and Managing Director,
Microsoft Research Catalyst Lab

출판물

자료 보기:

- GridSFM: A Foundation Model for AC Optimal Power Flow
  
  Weiwei Yang, Andrea Britto Mattos Lima, Thiago V. Spina, Spencer Fowers, Baosen Zhang, Chris White
  
  May 2026
  
  Publication 프로젝트
- Building Power Grid Models from Open Data: A Complete Pipeline from OpenStreetMap to Optimal Power Flow
  
  Andrea Britto Mattos Lima, Thiago V. Spina, Weiwei Yang, Spencer Fowers, Baosen Zhang, Chris White
  
  May 2026
  
  arXiv | May 2026
  
  Publication Github 프로젝트
- Statistical Estimation of Adversarial Risk in Large Language Models under Best-of-N Sampling
  
  Mingqian Feng, Xiaodong Liu, Weiwei Yang, Chenliang Xu, Chris White, Jianfeng Gao
  
  February 2026
  
  arXiv | February 2026
  
  DOI Publication Publication Github
- Simple Lifelong Learning Machines
  
  Joshua T. Vogelstein, Jayanta Dey, Hayden S. Helm, Will LeVine, Ronak D. Mehta, Tyler M. Tomita, Haoyin Xu, Ali Geisa, Qingyang Wang, Gido M. van de Ven, Chenyu Gao, Weiwei Yang, Bryan Tower, Jonathan Larson, Chris White, Carey E. Priebe
  
  IEEE Transactions on Pattern Analysis and Machine Intelligence | November 2025, 제 47 권(11): pp. 10033-10046
  
  Publication
- Dynamic Silos: Modularity in intra-organizational communication networks before and during the Covid-19 pandemic
  
  Tiona Zuzul, Emily Cox Pahnke, Jonathan Larson, Patrick Bourke, Nicholas Caurvina, Neha Parikh Shah, Fereshteh Amini, Jeffrey Weston, Youngser Park, Joshua Vogelstein, Chris White, Carey E. Priebe
  
  Management Science | April 2025
  
  Publication Preprint 프로젝트 프로젝트
- Multiple Network Embedding for Anomaly Detection in Time Series of Graphs
  
  Guodong Chen, Jesus Arroyo, Avanti Athreya, Joshua Cape, Joshua T. Vogelstein, Youngser Park, Chris White, Jonathan Larson, Weiwei Yang, Carey E. Priebe
  
  Computational Statistics & Data Analysis | March 2025, 제 203 권
  
  Publication PDF
- Discovering a change point and piecewise linear structure in a time series of organoid networks via the iso-mirror
  
  Tianyi Chen, Weiwei Yang, Chris White, Carey E. Priebe
  
  Applied Network Science | July 2023
  
  Publication 프로젝트
- Distance-based Positive and Unlabeled Learning for Ranking
  
  Hayden S. Helm, Amitabh Basu, Carey E. Priebe, Jonathan Larson, Marah I Abdin, Piali Choudhury, Weiwei Yang, Chris White
  
  Pattern Recognition | October 2022
  
  Publication
- Inducing a hierarchy for multi-class classification problems
  
  Hayden S. Helm, Ali Geisa, Weiwei Yang, Kate Lytvynets, Oriana Riva, Sujeeth Bharadwaj, Carey E. Priebe, Chris White
  
  Arxiv | February 2021, 제 2102.10263 권
  
  Publication
- A partition-based similarity for classification distributions.
  
  Hayden S. Helm, Ronak D. Mehta, Brandon Duderstadt, Ali Geisa, Weiwei Yang, Joshua T. Vogelstein, Carey E. Priebe, Chris White
  
  November 2020
  
  Publication
- Understanding the Human Brain using Brain Organoids and a Structure-Function Theory
  
  Gabriel A. Silva, Alysson R. Muotri, Chris White
  
  September 2020
  
  Publication PDF
- Vertex Nomination, Consistent Estimation, and Adversarial Modification
  
  Youngser Park, Jonathan Larson, Chris White, Carey E. Priebe, Vince Lyzinski, Joshua Agterberg
  
  Electronic Journal of Statistics | September 2020, 제 14 권(2): pp. 3230-3267
  
  Author's Version Publication PDF
- Orchard: Exploring Multivariate Heterogeneous Networks on Mobile Phones
  
  Philipp Eichmann, Darren Edge, Nathan Evans, Bongshin Lee, Matthew Brehmer, Chris White
  
  Computer Graphics Forum | June 2020
  
  Publication 동영상 프로젝트
- Learning to rank via combining representations
  
  Hayden S. Helm, Amitabh Basu, Avanti Athreya, Youngser Park, Joshua T. Vogelstein, Michael Winding, Marta Zlatic, Albert Cardona, Patrick Bourke, Jonathan Larson, Chris White, Carey E. Priebe
  
  May 2020
  
  Publication
- Design of a Privacy-Preserving Data Platform for Collaboration Against Human Trafficking
  
  Darren Edge, Weiwei Yang, Harry Cook, Claire Galez-Davis, Hannah Darnton, Kate Lytvynets, Chris White
  
  May 2020
  
  Preprint PDF
- Workgroup Mapping: Visual Analysis of Collaboration Culture
  
  Darren Edge, Jonathan Larson, Nikolay Trandev, Neha Parikh Shah, Carolyn Buractaon, Nicholas Caurvina, Nathan Evans, Chris White
  
  May 2020
  
  Preprint PDF 프로젝트
- Modern Machine Learning: Partition & Vote
  
  Carey E. Priebe, Joshua T. Vogelstein, Florian Engert, Chris White
  
  April 2020
  
  Publication PDF
- A general approach to progressive learning
  
  Joshua T. Vogelstein, Hayden S. Helm, Ronak D. Mehta, Jayanta Dey, Weiwei Yang, Bryan Tower, Will LeVine, Jonathan Larson, Chris White, Carey Priebe
  
  April 2020
  
  Publication
- A general approach to progressive learning
  
  Joshua T. Vogelstein, Hayden S. Helm, Ronak D. Mehta, Jayanta Dey, Will LeVine, Weiwei Yang, Bryan Tower, Jonathan Larson, Carey E. Priebe, Chris White
  
  April 2020
  
  Preprint
- Making Sense of Search: Using Graph Embedding and Visualization to Transform Query Understanding
  
  Jonathan Larson, Darren Edge, Nathan Evans, Chris White
  
  CHI | April 2020
  
  Publication
- News Provenance: Revealing News Text Reuse at Web-Scale in an Augmented News Search Experience
  
  Nathan Evans, Darren Edge, Jonathan Larson, Chris White
  
  CHI | April 2020
  
  Publication
- Timeline Storyteller: The Design & Deployment of an Interactive Authoring Tool for Expressive Timeline Narratives
  
  Matthew Brehmer, Bongshin Lee, Nathalie Henry Riche, David Tittsworth, Kate Lytvynets, Darren Edge, Chris White
  
  Computation+Journalism Symposium | February 2019
  
  Publication 동영상 동영상 프로젝트
- Trimming the Hairball: Edge Cutting Strategies for Making Dense Graphs Usable
  
  Darren Edge, Jonathan Larson, Markus Mobius, Chris White
  
  GTA³ 2.0: The 2nd IEEE Big Data Workshop on Graph Techniques for Adversarial Activity Analytics | December 2018
  
  Publication
- Using Web-Scale Graph Analytics to Counter Technical Support Scams
  
  Jonathan Larson, Bryan Tower, Duane Hadfield, Darren Edge, Chris White
  
  GTA³ 2.0: The 2nd IEEE Big Data Workshop on Graph Techniques for Adversarial Activity Analytics | December 2018
  
  Publication
- Bringing AI to BI: Enabling Visual Analytics of Unstructured Data in a Modern Business Intelligence Platform
  
  Darren Edge, Jonathan Larson, Chris White
  
  CHI 2018 Extended Abstracts | April 2018
  
  PDF Publication 출판
- Beyond Tasks: An Activity Typology for Visual Analytics
  
  Darren Edge, Nathalie Henry Riche, Jonathan Larson, Chris White
  
  Transactions on Visualization and Computer Graphics | January 2018, 제 24 권(1): pp. 267-277
  
  PDF 출판
- Likelihood-Based Semi-Supervised Model Selection with Applications to Speech Processing
  
  Chris White, Sanjeev P. Khudanpur, Patrick J. Wolfe
  
  IEEE Journal of Selected Topics in Signal Processing | November 2009, 제 4 권(6)
  
  PDF 출판
- Confidence Estimation, OOV Detection and Language ID Using Phone-to-Word Transduction and Phone-Level Alignments
  
  Chris White, Geoffrey Zweig
  
  In Proceedings of ICASSP | January 2008
  
  PDF 프로젝트
- Maximum Entropy Confidence Estimation for Speech Recognition
  
  Chris White, Jasha Droppo, Alex Acero, Julian Odell
  
  Proc. ICASSP | April 2007
  
  Proc. ICASSP
  
  PDF

- Simple Lifelong Learning Machines
  
  Joshua T. Vogelstein, Jayanta Dey, Hayden S. Helm, Will LeVine, Ronak D. Mehta, Tyler M. Tomita, Haoyin Xu, Ali Geisa, Qingyang Wang, Gido M. van de Ven, Chenyu Gao, Weiwei Yang, Bryan Tower, Jonathan Larson, Chris White, Carey E. Priebe
  
  IEEE Transactions on Pattern Analysis and Machine Intelligence | November 2025, 제 47 권(11): pp. 10033-10046
  
  Publication
- Dynamic Silos: Modularity in intra-organizational communication networks before and during the Covid-19 pandemic
  
  Tiona Zuzul, Emily Cox Pahnke, Jonathan Larson, Patrick Bourke, Nicholas Caurvina, Neha Parikh Shah, Fereshteh Amini, Jeffrey Weston, Youngser Park, Joshua Vogelstein, Chris White, Carey E. Priebe
  
  Management Science | April 2025
  
  Publication Preprint 프로젝트 프로젝트
- Multiple Network Embedding for Anomaly Detection in Time Series of Graphs
  
  Guodong Chen, Jesus Arroyo, Avanti Athreya, Joshua Cape, Joshua T. Vogelstein, Youngser Park, Chris White, Jonathan Larson, Weiwei Yang, Carey E. Priebe
  
  Computational Statistics & Data Analysis | March 2025, 제 203 권
  
  Publication PDF
- Inducing a hierarchy for multi-class classification problems
  
  Hayden S. Helm, Ali Geisa, Weiwei Yang, Kate Lytvynets, Oriana Riva, Sujeeth Bharadwaj, Carey E. Priebe, Chris White
  
  Arxiv | February 2021, 제 2102.10263 권
  
  Publication
- A partition-based similarity for classification distributions.
  
  Hayden S. Helm, Ronak D. Mehta, Brandon Duderstadt, Ali Geisa, Weiwei Yang, Joshua T. Vogelstein, Carey E. Priebe, Chris White
  
  November 2020
  
  Publication
- Understanding the Human Brain using Brain Organoids and a Structure-Function Theory
  
  Gabriel A. Silva, Alysson R. Muotri, Chris White
  
  September 2020
  
  Publication PDF
- Vertex Nomination, Consistent Estimation, and Adversarial Modification
  
  Youngser Park, Jonathan Larson, Chris White, Carey E. Priebe, Vince Lyzinski, Joshua Agterberg
  
  Electronic Journal of Statistics | September 2020, 제 14 권(2): pp. 3230-3267
  
  Author's Version Publication PDF
- Learning to rank via combining representations
  
  Hayden S. Helm, Amitabh Basu, Avanti Athreya, Youngser Park, Joshua T. Vogelstein, Michael Winding, Marta Zlatic, Albert Cardona, Patrick Bourke, Jonathan Larson, Chris White, Carey E. Priebe
  
  May 2020
  
  Publication
- Modern Machine Learning: Partition & Vote
  
  Carey E. Priebe, Joshua T. Vogelstein, Florian Engert, Chris White
  
  April 2020
  
  Publication PDF
- A general approach to progressive learning
  
  Joshua T. Vogelstein, Hayden S. Helm, Ronak D. Mehta, Jayanta Dey, Weiwei Yang, Bryan Tower, Will LeVine, Jonathan Larson, Chris White, Carey Priebe
  
  April 2020
  
  Publication
- A general approach to progressive learning
  
  Joshua T. Vogelstein, Hayden S. Helm, Ronak D. Mehta, Jayanta Dey, Will LeVine, Weiwei Yang, Bryan Tower, Jonathan Larson, Carey E. Priebe, Chris White
  
  April 2020
  
  Preprint
- GridSFM: A Foundation Model for AC Optimal Power Flow
  
  Weiwei Yang, Andrea Britto Mattos Lima, Thiago V. Spina, Spencer Fowers, Baosen Zhang, Chris White
  
  May 2026
  
  Publication 프로젝트
- Building Power Grid Models from Open Data: A Complete Pipeline from OpenStreetMap to Optimal Power Flow
  
  Andrea Britto Mattos Lima, Thiago V. Spina, Weiwei Yang, Spencer Fowers, Baosen Zhang, Chris White
  
  May 2026
  
  arXiv | May 2026
  
  Publication Github 프로젝트
- Statistical Estimation of Adversarial Risk in Large Language Models under Best-of-N Sampling
  
  Mingqian Feng, Xiaodong Liu, Weiwei Yang, Chenliang Xu, Chris White, Jianfeng Gao
  
  February 2026
  
  arXiv | February 2026
  
  DOI Publication Publication Github
- Design of a Privacy-Preserving Data Platform for Collaboration Against Human Trafficking
  
  Darren Edge, Weiwei Yang, Harry Cook, Claire Galez-Davis, Hannah Darnton, Kate Lytvynets, Chris White
  
  May 2020
  
  Preprint PDF
- Discovering a change point and piecewise linear structure in a time series of organoid networks via the iso-mirror
  
  Tianyi Chen, Weiwei Yang, Chris White, Carey E. Priebe
  
  Applied Network Science | July 2023
  
  Publication 프로젝트
- Distance-based Positive and Unlabeled Learning for Ranking
  
  Hayden S. Helm, Amitabh Basu, Carey E. Priebe, Jonathan Larson, Marah I Abdin, Piali Choudhury, Weiwei Yang, Chris White
  
  Pattern Recognition | October 2022
  
  Publication
- Understanding the Human Brain using Brain Organoids and a Structure-Function Theory
  
  Gabriel A. Silva, Alysson R. Muotri, Chris White
  
  September 2020
  
  Publication PDF
- Multiple Network Embedding for Anomaly Detection in Time Series of Graphs
  
  Guodong Chen, Jesus Arroyo, Avanti Athreya, Joshua Cape, Joshua T. Vogelstein, Youngser Park, Chris White, Jonathan Larson, Weiwei Yang, Carey E. Priebe
  
  Computational Statistics & Data Analysis | March 2025, 제 203 권
  
  Publication PDF
- Multiple Network Embedding for Anomaly Detection in Time Series of Graphs
  
  Guodong Chen, Jesus Arroyo, Avanti Athreya, Joshua Cape, Joshua T. Vogelstein, Youngser Park, Chris White, Jonathan Larson, Weiwei Yang, Carey E. Priebe
  
  Computational Statistics & Data Analysis | March 2025, 제 203 권
  
  Publication PDF
- Orchard: Exploring Multivariate Heterogeneous Networks on Mobile Phones
  
  Philipp Eichmann, Darren Edge, Nathan Evans, Bongshin Lee, Matthew Brehmer, Chris White
  
  Computer Graphics Forum | June 2020
  
  Publication 동영상 프로젝트
- Design of a Privacy-Preserving Data Platform for Collaboration Against Human Trafficking
  
  Darren Edge, Weiwei Yang, Harry Cook, Claire Galez-Davis, Hannah Darnton, Kate Lytvynets, Chris White
  
  May 2020
  
  Preprint PDF
- Workgroup Mapping: Visual Analysis of Collaboration Culture
  
  Darren Edge, Jonathan Larson, Nikolay Trandev, Neha Parikh Shah, Carolyn Buractaon, Nicholas Caurvina, Nathan Evans, Chris White
  
  May 2020
  
  Preprint PDF 프로젝트
- Modern Machine Learning: Partition & Vote
  
  Carey E. Priebe, Joshua T. Vogelstein, Florian Engert, Chris White
  
  April 2020
  
  Publication PDF
- News Provenance: Revealing News Text Reuse at Web-Scale in an Augmented News Search Experience
  
  Nathan Evans, Darren Edge, Jonathan Larson, Chris White
  
  CHI | April 2020
  
  Publication
- Making Sense of Search: Using Graph Embedding and Visualization to Transform Query Understanding
  
  Jonathan Larson, Darren Edge, Nathan Evans, Chris White
  
  CHI | April 2020
  
  Publication
- Timeline Storyteller: The Design & Deployment of an Interactive Authoring Tool for Expressive Timeline Narratives
  
  Matthew Brehmer, Bongshin Lee, Nathalie Henry Riche, David Tittsworth, Kate Lytvynets, Darren Edge, Chris White
  
  Computation+Journalism Symposium | February 2019
  
  Publication 동영상 동영상 프로젝트
- Trimming the Hairball: Edge Cutting Strategies for Making Dense Graphs Usable
  
  Darren Edge, Jonathan Larson, Markus Mobius, Chris White
  
  GTA³ 2.0: The 2nd IEEE Big Data Workshop on Graph Techniques for Adversarial Activity Analytics | December 2018
  
  Publication
- Using Web-Scale Graph Analytics to Counter Technical Support Scams
  
  Jonathan Larson, Bryan Tower, Duane Hadfield, Darren Edge, Chris White
  
  GTA³ 2.0: The 2nd IEEE Big Data Workshop on Graph Techniques for Adversarial Activity Analytics | December 2018
  
  Publication
- Bringing AI to BI: Enabling Visual Analytics of Unstructured Data in a Modern Business Intelligence Platform
  
  Darren Edge, Jonathan Larson, Chris White
  
  CHI 2018 Extended Abstracts | April 2018
  
  PDF Publication 출판
- Beyond Tasks: An Activity Typology for Visual Analytics
  
  Darren Edge, Nathalie Henry Riche, Jonathan Larson, Chris White
  
  Transactions on Visualization and Computer Graphics | January 2018, 제 24 권(1): pp. 267-277
  
  PDF 출판
- Orchard: Exploring Multivariate Heterogeneous Networks on Mobile Phones
  
  Philipp Eichmann, Darren Edge, Nathan Evans, Bongshin Lee, Matthew Brehmer, Chris White
  
  Computer Graphics Forum | June 2020
  
  Publication 동영상 프로젝트
- Design of a Privacy-Preserving Data Platform for Collaboration Against Human Trafficking
  
  Darren Edge, Weiwei Yang, Harry Cook, Claire Galez-Davis, Hannah Darnton, Kate Lytvynets, Chris White
  
  May 2020
  
  Preprint PDF
- Workgroup Mapping: Visual Analysis of Collaboration Culture
  
  Darren Edge, Jonathan Larson, Nikolay Trandev, Neha Parikh Shah, Carolyn Buractaon, Nicholas Caurvina, Nathan Evans, Chris White
  
  May 2020
  
  Preprint PDF 프로젝트
- News Provenance: Revealing News Text Reuse at Web-Scale in an Augmented News Search Experience
  
  Nathan Evans, Darren Edge, Jonathan Larson, Chris White
  
  CHI | April 2020
  
  Publication
- Making Sense of Search: Using Graph Embedding and Visualization to Transform Query Understanding
  
  Jonathan Larson, Darren Edge, Nathan Evans, Chris White
  
  CHI | April 2020
  
  Publication
- Bringing AI to BI: Enabling Visual Analytics of Unstructured Data in a Modern Business Intelligence Platform
  
  Darren Edge, Jonathan Larson, Chris White
  
  CHI 2018 Extended Abstracts | April 2018
  
  PDF Publication 출판
- Likelihood-Based Semi-Supervised Model Selection with Applications to Speech Processing
  
  Chris White, Sanjeev P. Khudanpur, Patrick J. Wolfe
  
  IEEE Journal of Selected Topics in Signal Processing | November 2009, 제 4 권(6)
  
  PDF 출판
- Confidence Estimation, OOV Detection and Language ID Using Phone-to-Word Transduction and Phone-Level Alignments
  
  Chris White, Geoffrey Zweig
  
  In Proceedings of ICASSP | January 2008
  
  PDF 프로젝트
- Maximum Entropy Confidence Estimation for Speech Recognition
  
  Chris White, Jasha Droppo, Alex Acero, Julian Odell
  
  Proc. ICASSP | April 2007
  
  Proc. ICASSP
  
  PDF

- Simple Lifelong Learning Machines
  
  Joshua T. Vogelstein, Jayanta Dey, Hayden S. Helm, Will LeVine, Ronak D. Mehta, Tyler M. Tomita, Haoyin Xu, Ali Geisa, Qingyang Wang, Gido M. van de Ven, Chenyu Gao, Weiwei Yang, Bryan Tower, Jonathan Larson, Chris White, Carey E. Priebe
  
  IEEE Transactions on Pattern Analysis and Machine Intelligence | November 2025, 제 47 권(11): pp. 10033-10046
  
  Publication
- Dynamic Silos: Modularity in intra-organizational communication networks before and during the Covid-19 pandemic
  
  Tiona Zuzul, Emily Cox Pahnke, Jonathan Larson, Patrick Bourke, Nicholas Caurvina, Neha Parikh Shah, Fereshteh Amini, Jeffrey Weston, Youngser Park, Joshua Vogelstein, Chris White, Carey E. Priebe
  
  Management Science | April 2025
  
  Publication Preprint 프로젝트 프로젝트
- Multiple Network Embedding for Anomaly Detection in Time Series of Graphs
  
  Guodong Chen, Jesus Arroyo, Avanti Athreya, Joshua Cape, Joshua T. Vogelstein, Youngser Park, Chris White, Jonathan Larson, Weiwei Yang, Carey E. Priebe
  
  Computational Statistics & Data Analysis | March 2025, 제 203 권
  
  Publication PDF
- Discovering a change point and piecewise linear structure in a time series of organoid networks via the iso-mirror
  
  Tianyi Chen, Weiwei Yang, Chris White, Carey E. Priebe
  
  Applied Network Science | July 2023
  
  Publication 프로젝트
- Distance-based Positive and Unlabeled Learning for Ranking
  
  Hayden S. Helm, Amitabh Basu, Carey E. Priebe, Jonathan Larson, Marah I Abdin, Piali Choudhury, Weiwei Yang, Chris White
  
  Pattern Recognition | October 2022
  
  Publication
- Inducing a hierarchy for multi-class classification problems
  
  Hayden S. Helm, Ali Geisa, Weiwei Yang, Kate Lytvynets, Oriana Riva, Sujeeth Bharadwaj, Carey E. Priebe, Chris White
  
  Arxiv | February 2021, 제 2102.10263 권
  
  Publication
- Vertex Nomination, Consistent Estimation, and Adversarial Modification
  
  Youngser Park, Jonathan Larson, Chris White, Carey E. Priebe, Vince Lyzinski, Joshua Agterberg
  
  Electronic Journal of Statistics | September 2020, 제 14 권(2): pp. 3230-3267
  
  Author's Version Publication PDF
- Orchard: Exploring Multivariate Heterogeneous Networks on Mobile Phones
  
  Philipp Eichmann, Darren Edge, Nathan Evans, Bongshin Lee, Matthew Brehmer, Chris White
  
  Computer Graphics Forum | June 2020
  
  Publication 동영상 프로젝트
- Beyond Tasks: An Activity Typology for Visual Analytics
  
  Darren Edge, Nathalie Henry Riche, Jonathan Larson, Chris White
  
  Transactions on Visualization and Computer Graphics | January 2018, 제 24 권(1): pp. 267-277
  
  PDF 출판
- Likelihood-Based Semi-Supervised Model Selection with Applications to Speech Processing
  
  Chris White, Sanjeev P. Khudanpur, Patrick J. Wolfe
  
  IEEE Journal of Selected Topics in Signal Processing | November 2009, 제 4 권(6)
  
  PDF 출판
- GridSFM: A Foundation Model for AC Optimal Power Flow
  
  Weiwei Yang, Andrea Britto Mattos Lima, Thiago V. Spina, Spencer Fowers, Baosen Zhang, Chris White
  
  May 2026
  
  Publication 프로젝트
- A partition-based similarity for classification distributions.
  
  Hayden S. Helm, Ronak D. Mehta, Brandon Duderstadt, Ali Geisa, Weiwei Yang, Joshua T. Vogelstein, Carey E. Priebe, Chris White
  
  November 2020
  
  Publication
- Understanding the Human Brain using Brain Organoids and a Structure-Function Theory
  
  Gabriel A. Silva, Alysson R. Muotri, Chris White
  
  September 2020
  
  Publication PDF
- Learning to rank via combining representations
  
  Hayden S. Helm, Amitabh Basu, Avanti Athreya, Youngser Park, Joshua T. Vogelstein, Michael Winding, Marta Zlatic, Albert Cardona, Patrick Bourke, Jonathan Larson, Chris White, Carey E. Priebe
  
  May 2020
  
  Publication
- Design of a Privacy-Preserving Data Platform for Collaboration Against Human Trafficking
  
  Darren Edge, Weiwei Yang, Harry Cook, Claire Galez-Davis, Hannah Darnton, Kate Lytvynets, Chris White
  
  May 2020
  
  Preprint PDF
- Workgroup Mapping: Visual Analysis of Collaboration Culture
  
  Darren Edge, Jonathan Larson, Nikolay Trandev, Neha Parikh Shah, Carolyn Buractaon, Nicholas Caurvina, Nathan Evans, Chris White
  
  May 2020
  
  Preprint PDF 프로젝트
- Modern Machine Learning: Partition & Vote
  
  Carey E. Priebe, Joshua T. Vogelstein, Florian Engert, Chris White
  
  April 2020
  
  Publication PDF
- A general approach to progressive learning
  
  Joshua T. Vogelstein, Hayden S. Helm, Ronak D. Mehta, Jayanta Dey, Weiwei Yang, Bryan Tower, Will LeVine, Jonathan Larson, Chris White, Carey Priebe
  
  April 2020
  
  Publication
- A general approach to progressive learning
  
  Joshua T. Vogelstein, Hayden S. Helm, Ronak D. Mehta, Jayanta Dey, Will LeVine, Weiwei Yang, Bryan Tower, Jonathan Larson, Carey E. Priebe, Chris White
  
  April 2020
  
  Preprint
- Building Power Grid Models from Open Data: A Complete Pipeline from OpenStreetMap to Optimal Power Flow
  
  Andrea Britto Mattos Lima, Thiago V. Spina, Weiwei Yang, Spencer Fowers, Baosen Zhang, Chris White
  
  May 2026
  
  arXiv | May 2026
  
  Publication Github 프로젝트
- Statistical Estimation of Adversarial Risk in Large Language Models under Best-of-N Sampling
  
  Mingqian Feng, Xiaodong Liu, Weiwei Yang, Chenliang Xu, Chris White, Jianfeng Gao
  
  February 2026
  
  arXiv | February 2026
  
  DOI Publication Publication Github
- News Provenance: Revealing News Text Reuse at Web-Scale in an Augmented News Search Experience
  
  Nathan Evans, Darren Edge, Jonathan Larson, Chris White
  
  CHI | April 2020
  
  Publication
- Making Sense of Search: Using Graph Embedding and Visualization to Transform Query Understanding
  
  Jonathan Larson, Darren Edge, Nathan Evans, Chris White
  
  CHI | April 2020
  
  Publication
- Timeline Storyteller: The Design & Deployment of an Interactive Authoring Tool for Expressive Timeline Narratives
  
  Matthew Brehmer, Bongshin Lee, Nathalie Henry Riche, David Tittsworth, Kate Lytvynets, Darren Edge, Chris White
  
  Computation+Journalism Symposium | February 2019
  
  Publication 동영상 동영상 프로젝트
- Trimming the Hairball: Edge Cutting Strategies for Making Dense Graphs Usable
  
  Darren Edge, Jonathan Larson, Markus Mobius, Chris White
  
  GTA³ 2.0: The 2nd IEEE Big Data Workshop on Graph Techniques for Adversarial Activity Analytics | December 2018
  
  Publication
- Using Web-Scale Graph Analytics to Counter Technical Support Scams
  
  Jonathan Larson, Bryan Tower, Duane Hadfield, Darren Edge, Chris White
  
  GTA³ 2.0: The 2nd IEEE Big Data Workshop on Graph Techniques for Adversarial Activity Analytics | December 2018
  
  Publication
- Bringing AI to BI: Enabling Visual Analytics of Unstructured Data in a Modern Business Intelligence Platform
  
  Darren Edge, Jonathan Larson, Chris White
  
  CHI 2018 Extended Abstracts | April 2018
  
  PDF Publication 출판
- Confidence Estimation, OOV Detection and Language ID Using Phone-to-Word Transduction and Phone-Level Alignments
  
  Chris White, Geoffrey Zweig
  
  In Proceedings of ICASSP | January 2008
  
  PDF 프로젝트
- Maximum Entropy Confidence Estimation for Speech Recognition
  
  Chris White, Jasha Droppo, Alex Acero, Julian Odell
  
  Proc. ICASSP | April 2007
  
  Proc. ICASSP
  
  PDF

Chris White

출판물

GridSFM: A Foundation Model for AC Optimal Power Flow

Building Power Grid Models from Open Data: A Complete Pipeline from OpenStreetMap to Optimal Power Flow

Statistical Estimation of Adversarial Risk in Large Language Models under Best-of-N Sampling

Simple Lifelong Learning Machines

Dynamic Silos: Modularity in intra-organizational communication networks before and during the Covid-19 pandemic

Multiple Network Embedding for Anomaly Detection in Time Series of Graphs

Discovering a change point and piecewise linear structure in a time series of organoid networks via the iso-mirror

Distance-based Positive and Unlabeled Learning for Ranking

Inducing a hierarchy for multi-class classification problems

A partition-based similarity for classification distributions.

Understanding the Human Brain using Brain Organoids and a Structure-Function Theory

Vertex Nomination, Consistent Estimation, and Adversarial Modification

Orchard: Exploring Multivariate Heterogeneous Networks on Mobile Phones

Learning to rank via combining representations

Design of a Privacy-Preserving Data Platform for Collaboration Against Human Trafficking

Workgroup Mapping: Visual Analysis of Collaboration Culture

Modern Machine Learning: Partition & Vote

A general approach to progressive learning

A general approach to progressive learning

Making Sense of Search: Using Graph Embedding and Visualization to Transform Query Understanding

News Provenance: Revealing News Text Reuse at Web-Scale in an Augmented News Search Experience

Timeline Storyteller: The Design & Deployment of an Interactive Authoring Tool for Expressive Timeline Narratives

Trimming the Hairball: Edge Cutting Strategies for Making Dense Graphs Usable

Using Web-Scale Graph Analytics to Counter Technical Support Scams

Bringing AI to BI: Enabling Visual Analytics of Unstructured Data in a Modern Business Intelligence Platform

Beyond Tasks: An Activity Typology for Visual Analytics

Likelihood-Based Semi-Supervised Model Selection with Applications to Speech Processing

Confidence Estimation, OOV Detection and Language ID Using Phone-to-Word Transduction and Phone-Level Alignments

Maximum Entropy Confidence Estimation for Speech Recognition

Simple Lifelong Learning Machines

Dynamic Silos: Modularity in intra-organizational communication networks before and during the Covid-19 pandemic

Multiple Network Embedding for Anomaly Detection in Time Series of Graphs

Inducing a hierarchy for multi-class classification problems

A partition-based similarity for classification distributions.

Understanding the Human Brain using Brain Organoids and a Structure-Function Theory

Vertex Nomination, Consistent Estimation, and Adversarial Modification

Learning to rank via combining representations

Modern Machine Learning: Partition & Vote

A general approach to progressive learning

A general approach to progressive learning

GridSFM: A Foundation Model for AC Optimal Power Flow

Building Power Grid Models from Open Data: A Complete Pipeline from OpenStreetMap to Optimal Power Flow

Statistical Estimation of Adversarial Risk in Large Language Models under Best-of-N Sampling

Design of a Privacy-Preserving Data Platform for Collaboration Against Human Trafficking

Discovering a change point and piecewise linear structure in a time series of organoid networks via the iso-mirror

Distance-based Positive and Unlabeled Learning for Ranking

Understanding the Human Brain using Brain Organoids and a Structure-Function Theory

Multiple Network Embedding for Anomaly Detection in Time Series of Graphs

Multiple Network Embedding for Anomaly Detection in Time Series of Graphs

Orchard: Exploring Multivariate Heterogeneous Networks on Mobile Phones

Design of a Privacy-Preserving Data Platform for Collaboration Against Human Trafficking

Workgroup Mapping: Visual Analysis of Collaboration Culture

Modern Machine Learning: Partition & Vote

News Provenance: Revealing News Text Reuse at Web-Scale in an Augmented News Search Experience

Making Sense of Search: Using Graph Embedding and Visualization to Transform Query Understanding

Timeline Storyteller: The Design & Deployment of an Interactive Authoring Tool for Expressive Timeline Narratives

Trimming the Hairball: Edge Cutting Strategies for Making Dense Graphs Usable

Using Web-Scale Graph Analytics to Counter Technical Support Scams

Bringing AI to BI: Enabling Visual Analytics of Unstructured Data in a Modern Business Intelligence Platform

Beyond Tasks: An Activity Typology for Visual Analytics

Orchard: Exploring Multivariate Heterogeneous Networks on Mobile Phones

Design of a Privacy-Preserving Data Platform for Collaboration Against Human Trafficking

Workgroup Mapping: Visual Analysis of Collaboration Culture

News Provenance: Revealing News Text Reuse at Web-Scale in an Augmented News Search Experience

Making Sense of Search: Using Graph Embedding and Visualization to Transform Query Understanding

Bringing AI to BI: Enabling Visual Analytics of Unstructured Data in a Modern Business Intelligence Platform

Likelihood-Based Semi-Supervised Model Selection with Applications to Speech Processing

Confidence Estimation, OOV Detection and Language ID Using Phone-to-Word Transduction and Phone-Level Alignments

Maximum Entropy Confidence Estimation for Speech Recognition

Simple Lifelong Learning Machines

Dynamic Silos: Modularity in intra-organizational communication networks before and during the Covid-19 pandemic

Multiple Network Embedding for Anomaly Detection in Time Series of Graphs

Discovering a change point and piecewise linear structure in a time series of organoid networks via the iso-mirror

Distance-based Positive and Unlabeled Learning for Ranking

Inducing a hierarchy for multi-class classification problems

Vertex Nomination, Consistent Estimation, and Adversarial Modification

Orchard: Exploring Multivariate Heterogeneous Networks on Mobile Phones

Beyond Tasks: An Activity Typology for Visual Analytics