Publications

2024

  1. The Concordia Contest: Advancing the Cooperative Intelligence of Language Agents
    Chandler Smith, Rakshit S Trivedi, Jesse Clifton, Lewis Hammond, Akbir Khan, Marwa Abdulhai, Alexander Sasha Vezhnevets, John P. Agapiou, Edgar A. Duéñez-Guzmán, Jayd Matyas, Danny Karmon, Dylan Hadfield-Menell, Natasha Jaques, Tim Baarslag, and Joel Z Leibo
    In Neural Information Processing Systems, Dec 2024
  2. Melting Pot Contest: Charting the Future of Generalized Cooperative Intelligence
    Rakshit S Trivedi, Akbir Khan, Jesse Clifton, Lewis Hammond, Edgar A. Duéñez-Guzmán, Dipam Chakraborty, John P Agapiou, Jayd Matyas, Sasha Vezhnevets, Barna Pásztor, Yunke Ao, Omar G. Younis, Jiawei Huang, Benjamin Swain, Haoyuan Qin, Mian Deng, Ziwei Deng, Utku Erdoğanaras, Yue Zhao, Marko Tesic, Natasha Jaques, Jakob Nicolaus Foerster, Vincent Conitzer, Jose Hernandez-Orallo, Dylan Hadfield-Menell, and Joel Z Leibo
    In Neural Information Processing Systems Datasets and Benchmarks Track, Dec 2024
  3. Altared Environments: The Role of Normative Infrastructure in AI Alignment
    Rakshit S Trivedi, Nikhil Chandak, Carter Blair, Atrisha Sarkar, Tehilla Weltman, Dylan Hadfield-Menell, and Gillian K Hadfield
    In Agentic Markets Workshop at ICML 2024, Jul 2024
  4. Plug-And-Play Controllable Graph Generation With Diffusion Models
    Kartik Sharma, Srijan Kumar, and Rakshit S Trivedi
    In International Conference on Machine Learning, Jul 2024
  5. Normative Modules: A Generative Agent Architecture for Learning Norms that Supports Multi-Agent Cooperation
    Atrisha Sarkar, Andrei Ioan Muresanu, Carter Blair, Rakshit S Trivedi, and Gillian K Hadfield
    EC 2024 Workshop on Foundation Models and Game Theory, Jun 2024

2023

  1. The Melting Pot Contest
    Rakshit S Trivedi, Akbir Khan, Jesse Clifton, Lewis Hammond, John Agapiou, Edgar Dueñez-Guzman, Jayd Matyas, Dylan Hadfield-Menell, and Joel Z Leibo
    In Neural Information Processing Systems, Dec 2023
  2. Temporal Dynamics Aware Adversarial Attacks On Discrete-Time Graph Models
    Kartik Sharma, Rakshit S Trivedi, Rohit Sridhar, and Srijan Kumar
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Feb 2023

2022

  1. Adaptive Incentive Design with Multi-Agent Meta-GradientReinforcement Learning
    Jiachen Yang, Ethan Wang, Rakshit S Trivedi, Tuo Zhao, and Hongyuan Zha
    In International Conference on Autonomous Agents and Multiagent Systems, May 2022
  2. CrowdPlay: CrowdSourcing Human Demonstrations for Offline Learning
    Matthias Gertsgrasser, Rakshit S Trivedi, and David C Parkes
    In International Conference on Learning Representations, Apr 2022

2020

  1. Learning Strategic Network Emergence Mechanisms
    Rakshit S Trivedi, and Hongyuan Zha
    In Neural Information Processing Systems, Dec 2020
  2. GraphOpt: Learning Optimization Models of Graph Formation
    Rakshit S Trivedi, Jiachen Yang, and Hongyuan Zha
    In International Conference on Machine Learning, Jul 2020

2019

  1. DyRep: Learning Representations over Dynamic Graphs
    Rakshit S Trivedi, Mehrdad Farajtabar, Prasenjeet Biswal, and Hongyuan Zha
    In International Conference on Learning Representations, Apr 2019

2018

  1. LinkNBed: Multi-Graph Representation Learning with Entity Linkage
    Rakshit S Trivedi, Bunyamin Sisman, Xin Luna Dong, Christos Faloutsos, Hongyuan Zha, and Jun Ma
    In Association for Computational Linguistics, Jul 2018
  2. Deep Mean Field Games for Learning Optimal Behavior Policy of Large Populations
    Jiachen Yang, Xiaojing Ye, Rakshit S Trivedi, Huan Xu, and Hongyuan Zha
    In International Conference on Learning Representations, Apr 2018

2017

  1. Know-Evolve: Deep Temporal Reasoningfor Dynamic Knowledge Graphs
    Rakshit S Trivedi, Hanjun Dai, Yichen Wang, and Le Song
    In International Conference on Machine Learning, Jul 2017
  2. Fake News Mitigation via Point Process Based Intervention
    Mehrdad Farajtabar, Jiachen Yang, Xiaojing Ye, Rakshit S Trivedi, Elias Khalil, Shuang Li, Huan Xu, Le Song, and Hongyuan Zha
    In International Conference on Machine Learning, Jul 2017

2016

  1. Coevolutionary Latent Feature Processes for Continuous-Time User-Item Interactions
    Yichen Wang, Nan Du, Rakshit S Trivedi, and Hongyuan Zha
    In Neural Information Processing Systems, Dec 2016
  2. Recurrent Marked Temporal Point Process
    Nan Du, Hanjun Dai, Rakshit S Trivedi, Utkarsh Upadhyay, Manuel Gomez-Rodriguez, and Le Song
    In ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Aug 2016
  3. Recurrent Coevolutionary Feature Embedding Processes for Recommendation.
    Hanjun Dai, Yichen Wang, Rakshit S Trivedi, and Le Song
    RecSys DLRS workshop, Sep 2016

2013

  1. Discourse Connectors for Latent Subjectivity in Sentiment Analysis
    Rakshit S Trivedi, and Jacob Eisenstein
    In North American Chapter of the Association for Computational Linguistics, Dec 2013