Cen Wang and Peter Haas‘ paper “NIM: Generative Neural Networks for Automated Modeling and Generation of Simulation Inputs” was published in the ACM Transactions on Modeling and Computer Simulation.
Brett Mullins’ paper “The Shape of Explanations: A Topological Account of Rule-Based Explanations in Machine Learning” is accepted at R2HCAI Workshop at AAAI 2023.
Ryan McKenna, Brett Mullins, and Gerome Miklau’s paper “AIM: An Adaptive and Iterative Mechanism for Differentially Private Synthetic Data” is accepted to VLDB 2022. Authors: Ryan McKenna, Brett Mullins, Dan Sheldon, Gerome Miklau
Chenghao Lyu and Yanlei Diao’s paper “Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing” is accepted to VLDB 2022. Authors: Chenghao Lyu, Qi Fan, Fei Song, Arnab Sinha, Yanlei Diao, Wei Chen, Li Ma, Yihui Feng, Yaliang Li, Kai Zeng, and Jingren Zhou
Ryan McKenna and Gerome Miklau’s paper “Relaxed Marginal Consistency for Differentially Private Query Answering” was accepted to NeurIPS 2021. Authors: Ryan McKenna, Siddhant Pradhan, Daniel Sheldon, Gerome Miklau
Maliha Tashfia Islam, Anna Fariha, and Alexandra Meliou’s paper “Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification” was accepted to SIGMOD 2022. Authors: Maliha Tashfia Islam, Anna Fariha, Alexandra Meliou, Babak Salimi
Alexandra Meliou and Zafeiria Moumoulidou’s paper “Improved Approximation and Scalability for Fair Max-Min Diversification” was accepted to ICDT 2022. Authors: Raghavendra Addanki, Andrew McGregor, Alexandra Meliou, Zafeiria Moumoulidou
Anna Fariha‘s demo paper “DICE: Data Discovery by Example” was accepted to VLDB 2021. Authors: El Kindi Rezig, Anshul Bhandari, Anna Fariha, Benjamin Price, Allan Vanterpool, Vijay Gadepally, Michael Stonebraker
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