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• Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning

  Shah Sanket, Arunesh Sinha, Pradeep Varakantham, Andrew Perrault, Milind Tambe

  2226-2235

  2020-04-03

• Reinforcement Mechanism Design: With Applications to Dynamic Pricing in Sponsored Search Auctions

  Weiran Shen, Binghui Peng, Hanpeng Liu, Michael Zhang, Ruohan Qian, Yan Hong, Zhi Guo, Zongyao Ding, Pengjun Lu, Pingzhong Tang

  2236-2243

  2020-04-03

• Complexity of Computing the Shapley Value in Games with Externalities

  Oskar Skibski

  2244-2251

  2020-04-03

• Path Planning Problems with Side Observations—When Colonels Play Hide-and-Seek

  Dong Quan Vu, Patrick Loiseau, Alonso Silva, Long Tran-Thanh

  2252-2259

  2020-04-03

• Multi-Type Resource Allocation with Partial Preferences

  Haibin Wang, Sujoy Sikdar, Xiaoxi Guo, Lirong Xia, Yongzhi Cao, Hanpin Wang

  2260-2267

  2020-04-03

• Nice Invincible Strategy for the Average-Payoff IPD

  Shiheng Wang, Fangzhen Lin

  2268-2275

  2020-04-03

• Bounded Incentives in Manipulating the Probabilistic Serial Rule

  Zihe Wang, Zhide Wei, Jie Zhang

  2276-2283

  2020-04-03

• Deep Learning—Powered Iterative Combinatorial Auctions

  Jakob Weissteiner, Sven Seuken

  2284-2293

  2020-04-03

• A Multi-Unit Profit Competitive Mechanism for Cellular Traffic Offloading

  Jun Wu, Yu Qiao, Lei Zhang, Chongjun Wang, Meilin Liu

  2294-2301

  2020-04-03

• Algorithms for Manipulating Sequential Allocation

  Mingyu Xiao, Jiaxing Ling

  2302-2309

  2020-04-03

• Computing Equilibria in Binary Networked Public Goods Games

  Sixie Yu, Kai Zhou, Jeffrey Brantingham, Yevgeniy Vorobeychik

  2310-2317

  2020-04-03

• Computing Team-Maxmin Equilibria in Zero-Sum Multiplayer Extensive-Form Games

  Youzhi Zhang, Bo An

  2318-2325

  2020-04-03

• FairyTED: A Fair Rating Predictor for TED Talk Data

  Rupam Acharyya, Shouman Das, Ankani Chattoraj, Md. Iftekhar Tanveer

  338-345

  2020-04-03

• Crisis-DIAS: Towards Multimodal Damage Analysis - Deployment, Challenges and Assessment

  Mansi Agarwal, Maitree Leekha, Ramit Sawhney, Rajiv Ratn Shah

  346-353

  2020-04-03

• Unsupervised Detection of Sub-Events in Large Scale Disasters

  Chidubem Arachie, Manas Gaur, Sam Anzaroot, William Groves, Ke Zhang, Alejandro Jaimes

  354-361

  2020-04-03

• Spatio-Temporal Attention-Based Neural Network for Credit Card Fraud Detection

  Dawei Cheng, Sheng Xiang, Chencheng Shang, Yiyi Zhang, Fangzhou Yang, Liqing Zhang

  362-369

  2020-04-03

• Tracking Disaster Footprints with Social Streaming Data

  Lu Cheng, Jundong Li, K. Selcuk Candan, Huan Liu

  370-377

  2020-04-03

• Detecting and Tracking Communal Bird Roosts in Weather Radar Data

  Zezhou Cheng, Saadia Gabriel, Pankaj Bhambhani, Daniel Sheldon, Subhransu Maji, Andrew Laughlin, David Winkler

  378-385

  2020-04-03

• Hindi-English Hate Speech Detection: Author Profiling, Debiasing, and Practical Perspectives

  Shivang Chopra, Ramit Sawhney, Puneet Mathur, Rajiv Ratn Shah

  386-393

  2020-04-03

• Inferring Nighttime Satellite Imagery from Human Mobility

  Brian Dickinson, Gourab Ghoshal, Xerxes Dotiwalla, Adam Sadilek, Henry Kautz

  394-402

  2020-04-03

• A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early Warning

  Kevin Fauvel, Daniel Balouek-Thomert, Diego Melgar, Pedro Silva, Anthony Simonet, Gabriel Antoniu, Alexandru Costan, Véronique Masson, Manish Parashar, Ivan Rodero, Alexandre Termier

  403-411

  2020-04-03

• Faking Fairness via Stealthily Biased Sampling

  Kazuto Fukuchi, Satoshi Hara, Takanori Maehara

  412-419

  2020-04-03

• Discriminating Cognitive Disequilibrium and Flow in Problem Solving: A Semi-Supervised Approach Using Involuntary Dynamic Behavioral Signals

  Mononito Goswami, Lujie Chen, Artur Dubrawski

  420-427

  2020-04-03

• Lightweight and Robust Representation of Economic Scales from Satellite Imagery

  Sungwon Han, Donghyun Ahn, Hyunji Cha, Jeasurk Yang, Sungwon Park, Meeyoung Cha

  428-436

  2020-04-03

• The Unreasonable Effectiveness of Inverse Reinforcement Learning in Advancing Cancer Research

  John Kalantari, Heidi Nelson, Nicholas Chia

  437-445

  2020-04-03