Publication Scalable Adversarial Attack Algorithms on Influence Maximization Lichao Sun, Xiaobin Rui, Wei Chen Proceedings of the 16th ACM International WSDM Conference (WSDM) | February 2023
Publication MSR CORE’s Optimization Toolkit Ishai Menache, Marco Molinaro MSR-TR-2023-10 | February 2023 Published by Microsoft
Publication Towards Inference Efficient Deep Ensemble Learning Ziyue Li, Kan Ren, Yifan Yang, Xinyang Jiang, Yuqing Yang, Dongsheng Li AAAI 23 | February 2023
Publication Can Persistent Homology provide an efficient alternative for Evaluation of Knowledge Graph Completion Methods? Anson Bastos, Kuldeep Singh, Abhishek Nadgeri, Johannes Hoffart, T. Suzumura, Manish Singh 2023 The Web Conference | January 2023
Publication Online and Bandit Algorithms Beyond 𝓁p Norms Thomas Kesselheim, Marco Molinaro, Sahil Singla 2023 Symposium on Discrete Algorithms | January 2023
Tool CodaMosa This repository contains the code for CodaMOSA. CodaMOSA integrates queries to a Large Language Model (currently supports the OpenAI API) into search-based algorithms for unit test generation. GitHub
Publication Incremental Dead State Detection in Logarithmic Time Caleb Stanford , Margus Veanes January 2023 Preliminary and extended version of paper that appears in CAV 2023
Publication DSN-DDI: an accurate and generalized framework for drug–drug interaction prediction by dual-view representation learning Zimeng Li, Shichao Zhu, Bin Shao, Xiangxiang Zeng, Tong Wang, Tie-Yan Liu Briefings in Bioinformatics | January 2023
Publication Lower bounds on the size of general branch-and-bound trees Santanu S. Dey, Yatharth Dubey, Marco Molinaro Mathematical Programming | January 2023, Vol 198: pp. 539-559
Publication Budget Pacing in Repeated Auctions: Regret and Efficiency Without Convergence Jason Gaitonde, Yingkai Li, Bar Light, Brendan Lucier, Aleksandrs Slivkins Innovations in Theoretical Computer Science | January 2023
