Eric Chu

According to our database, Eric Chu authored at least 28 papers between 2006 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

PaLM 2 Technical Report.

Rohan Anil, Andrew M. Dai, Orhan Firat, Melvin Johnson, Dmitry Lepikhin, Alexandre Passos, Siamak Shakeri, Emanuel Taropa, Paige Bailey, Zhifeng Chen, Eric Chu, Jonathan H. Clark, Laurent El Shafey, Yanping Huang, Kathy Meier-Hellstern, Gaurav Mishra, Erica Moreira, Mark Omernick, Kevin Robinson, Sebastian Ruder, Yi Tay, Kefan Xiao, Yuanzhong Xu, Yujing Zhang, Gustavo Hernández Ábrego, Junwhan Ahn, Jacob Austin, Paul Barham, Jan A. Botha, James Bradbury, Siddhartha Brahma, Kevin Brooks, Michele Catasta, Yong Cheng, Colin Cherry, Christopher A. Choquette-Choo, Aakanksha Chowdhery, Clément Crepy, Shachi Dave, Mostafa Dehghani, Sunipa Dev, Jacob Devlin, Mark Díaz, Nan Du, Ethan Dyer, Vladimir Feinberg, Fangxiaoyu Feng, Vlad Fienber, Markus Freitag, Xavier Garcia, Sebastian Gehrmann, Lucas Gonzalez, et al.

CoRR, 2023

Language Models Trained on Media Diets Can Predict Public Opinion.

Eric Chu, Jacob Andreas, Stephen Ansolabehere, Deb Roy

CoRR, 2023

2021

Exploring alternatives with Unreal Engine's Blueprints Visual Scripting System.

Eric Chu, Loutfouz Zaman

Entertain. Comput., 2021

Evolving Evocative 2D Views of Generated 3D Objects.

Eric Chu

CoRR, 2021

2020

Are Visual Explanations Useful? A Case Study in Model-in-the-Loop Prediction.

Eric Chu, Deb Roy, Jacob Andreas

CoRR, 2020

Games for Fairness and Interpretability.

Eric Chu, Nabeel Gillani, Sneha Priscilla Makini

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

DAPPER: Learning Domain-Adapted Persona Representation Using Pretrained BERT and External Memory.

Prashanth Vijayaraghavan, Eric Chu, Deb Roy

Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

2019

MeanSum: A Neural Model for Unsupervised Multi-Document Abstractive Summarization.

Eric Chu, Peter J. Liu

Proceedings of the 36th International Conference on Machine Learning, 2019

Automated Performance Management for the Big Data Stack.

Anastasios Arvanitis, Shivnath Babu, Eric Chu, Adrian Popescu, Alkis Simitsis, Kevin Wilkinson

Proceedings of the 9th Biennial Conference on Innovative Data Systems Research, 2019

2018

Unsupervised Neural Multi-document Abstractive Summarization.

Eric Chu, Peter J. Liu

CoRR, 2018

Child-Coach-Parent Network for Early Literacy Learning.

Juliana Nazare, Anneli Hershman, Ivan Sysoev, Lauren Fratamico, Juanita Buitrago, Mina Soltangheis, Sneha Priscilla Makini, Eric Chu, Deb Roy

Proceedings of the Rethinking learning in the digital age: Making the Learning Sciences count, 2018

Learning Personas from Dialogue with Attentive Memory Networks.

Eric Chu, Prashanth Vijayaraghavan, Deb Roy

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

Audio-Visual Sentiment Analysis for Learning Emotional Arcs in Movies.

Eric Chu, Deb Roy

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016

Conic Optimization via Operator Splitting and Homogeneous Self-Dual Embedding.

Brendan O'Donoghue, Eric Chu, Neal Parikh, Stephen P. Boyd

J. Optim. Theory Appl., 2016

Human Atlas: A Tool for Mapping Social Networks.

Martin Saveski, Eric Chu, Soroush Vosoughi, Deb Roy

Proceedings of the 25th International Conference on World Wide Web, 2016

2014

Dynamic Network Energy Management via Proximal Message Passing.

Matt Kraning, Eric Chu, Javad Lavaei, Stephen P. Boyd

Found. Trends Optim., 2014

2013

ECOS: An SOCP solver for embedded systems.

Alexander Domahidi, Eric Chu, Stephen P. Boyd

Proceedings of the 12th European Control Conference, 2013

Code generation for embedded second-order cone programming.

Eric Chu, Neal Parikh, Alexander Domahidi, Stephen P. Boyd

Proceedings of the 12th European Control Conference, 2013

2012

Message Passing for Dynamic Network Energy Management

Matt Kraning, Eric Chu, Javad Lavaei, Stephen P. Boyd

CoRR, 2012

Moving horizon estimation for staged QP problems.

Eric Chu, Arezou Keshavarz, Dimitry M. Gorinevsky, Stephen P. Boyd

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011

Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers.

Stephen P. Boyd, Neal Parikh, Eric Chu, Borja Peleato, Jonathan Eckstein

Found. Trends Mach. Learn., 2011

2010

Using Near-Field Stereo Vision for Robotic Grasping in Cluttered Environments.

Adam Leeper, Kaijen Hsiao, Eric Chu, J. Kenneth Salisbury

Proceedings of the Experimental Robotics, 2010

2009

Combining keyword search and forms for ad hoc querying of databases.

Eric Chu, Akanksha Baid, Xiaoyong Chai, AnHai Doan, Jeffrey F. Naughton

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2009

The Case for a Structured Approach to Managing Unstructured Data.

AnHai Doan, Jeffrey F. Naughton, Akanksha Baid, Xiaoyong Chai, Fei Chen, Ting Chen, Eric Chu, Pedro DeRose, Byron J. Gao, Chaitanya Gokhale, Jiansheng Huang, Warren Shen, Ba-Quy Vuong

Proceedings of the Fourth Biennial Conference on Innovative Data Systems Research, 2009

2008

Information extraction challenges in managing unstructured data.

AnHai Doan, Jeffrey F. Naughton, Raghu Ramakrishnan, Akanksha Baid, Xiaoyong Chai, Fei Chen, Ting Chen, Eric Chu, Pedro DeRose, Byron J. Gao, Chaitanya Gokhale, Jiansheng Huang, Warren Shen, Ba-Quy Vuong

SIGMOD Rec., 2008

2007

A Relational Approach to Incrementally Extracting and Querying Structure in Unstructured Data.

Eric Chu, Akanksha Baid, Ting Chen, AnHai Doan, Jeffrey F. Naughton

Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

The case for a wide-table approach to manage sparse relational data sets.

Eric Chu, Jennifer L. Beckmann, Jeffrey F. Naughton

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2007

2006

Automatic physical design tuning: workload as a sequence.

Sanjay Agrawal, Eric Chu, Vivek R. Narasayya

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2006