Publication Stochastic Contextual Dueling Bandits under Linear Stochastic Transitivity Models Viktor Bengs, Aadirupa Saha, Eyke Hüllermeier ICML 2022 | July 2022
Publication Simultaneously Learning Stochastic and Adversarial Bandits with General Graph Feedback Fang Kong, Yichi Zhou, Shuai Li ICML 2022 | July 2022
Publication Online Nonsubmodular Minimization with Delayed Costs: From Full Information to Bandit Feedback Darren Lin, Aldo Pacchiano, Yaodong Yu, Michael Jordan ICML 2022 | July 2022
Publication Asking for Knowledge (AFK): Training RL Agents to Query External Knowledge Using Language Iou-Jen Liu, Xingdi Yuan, Marc-Alexandre Côté, Pierre-Yves Oudeyer, Alex Schwing ICML 2022 | July 2022
Publication Keratoconus Classifier for Smartphone-based Corneal Topographer Siddhartha Gairola, Pallavi Joshi, Anand Balasubramaniam, Kaushik Murali, Nipun Kwatra, Mohit Jain IEEE International Engineering in Medicine and Biology Conference (EMBC) | July 2022 Project Project
Publication Efficient Capacity Provisioning for Firms with Multiple Locations: The Case of the Public Cloud Patrick Hummel, Michael Schwarz EC'22 | July 2022
Publication Deploying a Steered Query Optimizer in Production at Microsoft Wangda Zhang, Matteo Interlandi, Paul Mineiro, Shi Qiao, Nasim Ghazanfari, Karlen Lie, Marc Friedman, Rafah Hosn, Hiren Patel, Alekh Jindal International Conference on Management of Data | July 2022
Publication Unified 2D and 3D Pre-Training of Molecular Representations Jinhua Zhu, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu KDD 2022 | July 2022
Publication Craft an Iron Sword: Dynamically Generating Interactive Game Characters by Prompting Large Language Models Tuned on Code Ryan Volum, Sudha Rao, Michael Xu, Gabriel DesGarennes, Chris Brockett, Ben Van Durme, Olivia Deng, Akanksha Malhotra, Bill Dolan Association of Computational Linguistics | July 2022 Github Project
Publication Programming Concurrent Systems Butler Lampson Edsger Wybe Dijkstra: His Life, Work, and Legacy, 3 | Published by ACM | 2022 ISBN: 978-1-4503-9774-2 Tribute volume for Edsger Dijkstra