Sandeep Polisetty‘s paper “NextDoor: Accelerating Graph Sampling for Graph Machine Learning using GPUs” was accepted to Eurosys 2021. Authors: Abhinav Jangda, Sandeep Polisetty, Arjun Guha, Marco Serafini
Matteo Brucato‘s paper “Solving Markov Decision Processes with Partial State Abstractions” was accepted to ICRA 2021. Authors: Samer B. Nashed, Justin Svegliato, Matteo Brucato, Connor Basich, Roderic Grupen, Shlomo Zilberstein
Anna Fariha‘s paper “CoCo: Interactive Exploration of Conformance Constraints for Data Understanding and Data Cleaning” was accepted to SIGMOD 2021. Authors: Anna Fariha, Ashish Tiwari, Alexandra Meliou, Arjun Radhakrishna, Sumit Gulwani
Ryan McKenna, Joie Wu, Arisa Tajima, Brett Mullins, Siddhant Pradhan, and Cecilia Ferrando have recently won the first prize in the National Institute of Standards and Technology (NIST) Differential Privacy Temporal Map Challenge. The challenge seeks new tools with which to push the boundaries of current technologies for de-identifying data […]
Cen Wang‘s paper “NIM: Modeling and Generation of Simulation Inputs via Generative Neural Networks” won Best Contributed Theoretical Paper Honorable Mention at WSC 2020! Authors: Cen Wang, Emily Herbert, Peter J. Haas
Anna Fariha’s paper “Conformance Constraint Discovery: Measuring Trust in Data-Driven Systems” was accepted to SIGMOD 2021. Authors: Anna Fariha, Ashish Tiwari, Arjun Radhakrishna, Sumit Gulwani, Alexandra Meliou
Ryan McKenna’s paper “Permute-and-Flip: A new mechanism for differentially private selection” was accepted to NeurIPS 2020. Authors: Ryan McKenna, Daniel Sheldon
Zafeiria Moumoulidou‘s paper “Diverse Data Selection under Fairness Constraints” was accepted to ICDT 2021. Authors: Zafeiria Moumoulidou, Andrew McGregor, Alexandra Meliou.
Chenghao Lyu’s paper “Boosting Cloud Data Analytics using Multi-Objective Optimization” was accepted to ICDE 2021. Authors: Fei Song, Khaled Zaouk, Chenghao Lyu, Arnab Sinha, Qi Fan, Yanlei Diao, Prashant Shenoy.
Dan Zhang‘s paper “Investigating Visual Analysis of Differentially Private Data New” was accepted to IEEE VIS 2020 InfoVis. Authors: Dan Zhang, Ali Sarvghad, Gerome Miklau