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
@inproceedings{concordia24,title={The Concordia Contest: Advancing the Cooperative Intelligence of Language Agents},author={Smith, Chandler and Trivedi, Rakshit S and Clifton, Jesse and Hammond, Lewis and Khan, Akbir and Abdulhai, Marwa and Vezhnevets, Alexander Sasha and Agapiou, John P. and Duéñez-Guzmán, Edgar A. and Matyas, Jayd and Karmon, Danny and Hadfield-Menell, Dylan and Jaques, Natasha and Baarslag, Tim and Leibo, Joel Z},month=dec,year={2024},booktitle={Neural Information Processing Systems}}
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
@inproceedings{trivedi2024melting,title={Melting Pot Contest: Charting the Future of Generalized Cooperative Intelligence},author={Trivedi, Rakshit S and Khan, Akbir and Clifton, Jesse and Hammond, Lewis and Du{\'e}{\~n}ez-Guzm{\'a}n, Edgar A. and Chakraborty, Dipam and Agapiou, John P and Matyas, Jayd and Vezhnevets, Sasha and P{\'a}sztor, Barna and Ao, Yunke and Younis, Omar G. and Huang, Jiawei and Swain, Benjamin and Qin, Haoyuan and Deng, Mian and Deng, Ziwei and Erdo{\u{g}}anaras, Utku and Zhao, Yue and Tesic, Marko and Jaques, Natasha and Foerster, Jakob Nicolaus and Conitzer, Vincent and Hernandez-Orallo, Jose and Hadfield-Menell, Dylan and Leibo, Joel Z},booktitle={Neural Information Processing Systems Datasets and Benchmarks Track},month=dec,year={2024}}
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
@inproceedings{trivedi2024altared,title={Altared Environments: The Role of Normative Infrastructure in {AI} Alignment},author={Trivedi, Rakshit S and Chandak, Nikhil and Blair, Carter and Sarkar, Atrisha and Weltman, Tehilla and Hadfield-Menell, Dylan and Hadfield, Gillian K},booktitle={Agentic Markets Workshop at ICML 2024},month=jul,year={2024}}
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
@inproceedings{sharmadiff2023,title={Plug-And-Play Controllable Graph Generation With Diffusion Models},author={Sharma, Kartik and Kumar, Srijan and Trivedi, Rakshit S},month=jul,year={2024},booktitle={International Conference on Machine Learning}}
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
@article{2024normative,title={Normative Modules: A Generative Agent Architecture for Learning Norms that Supports Multi-Agent Cooperation},author={Sarkar, Atrisha and Muresanu, Andrei Ioan and Blair, Carter and Trivedi, Rakshit S and Hadfield, Gillian K},journal={EC 2024 Workshop on Foundation Models and Game Theory},month=jun,year={2024}}
2023
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
@inproceedings{Trimelt2023,title={The Melting Pot Contest},author={Trivedi, Rakshit S and Khan, Akbir and Clifton, Jesse and Hammond, Lewis and Agapiou, John and Dueñez-Guzman, Edgar and Matyas, Jayd and Hadfield-Menell, Dylan and Leibo, Joel Z},month=dec,year={2023},booktitle={Neural Information Processing Systems}}
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
@article{sharma2023,title={Temporal Dynamics Aware Adversarial Attacks On Discrete-Time Graph Models},author={Sharma, Kartik and Trivedi, Rakshit S and Sridhar, Rohit and Kumar, Srijan},month=feb,year={2023},journal={ACM SIGKDD Conference on Knowledge Discovery and Data Mining}}
2022
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
@inproceedings{YanWanTriZhaZha21,title={Adaptive Incentive Design with Multi-Agent Meta-GradientReinforcement Learning},author={Yang, Jiachen and Wang, Ethan and Trivedi, Rakshit S and Zhao, Tuo and Zha, Hongyuan},booktitle={International Conference on Autonomous Agents and Multiagent Systems},month=may,year={2022}}
CrowdPlay: CrowdSourcing Human Demonstrations for Offline Learning
Matthias Gertsgrasser, Rakshit S Trivedi, and David C Parkes
In International Conference on Learning Representations, Apr 2022
@inproceedings{GerTriPar21,title={CrowdPlay: CrowdSourcing Human Demonstrations for Offline Learning},author={Gertsgrasser, Matthias and Trivedi, Rakshit S and Parkes, David C},booktitle={International Conference on Learning Representations},month=apr,year={2022}}
2020
Learning Strategic Network Emergence Mechanisms
Rakshit S Trivedi, and Hongyuan Zha
In Neural Information Processing Systems, Dec 2020
@inproceedings{TriZha20,title={Learning Strategic Network Emergence Mechanisms},author={Trivedi, Rakshit S and Zha, Hongyuan},booktitle={Neural Information Processing Systems},month=dec,year={2020}}
GraphOpt: Learning Optimization Models of Graph Formation
Rakshit S Trivedi, Jiachen Yang, and Hongyuan Zha
In International Conference on Machine Learning, Jul 2020
@inproceedings{TriYanZha20,title={GraphOpt: Learning Optimization Models of Graph Formation},author={Trivedi, Rakshit S and Yang, Jiachen and Zha, Hongyuan},booktitle={International Conference on Machine Learning},month=jul,year={2020}}
2019
DyRep: Learning Representations over Dynamic Graphs
Rakshit S Trivedi, Mehrdad Farajtabar, Prasenjeet Biswal, and Hongyuan Zha
In International Conference on Learning Representations, Apr 2019
@inproceedings{TriFarBisZha19,title={DyRep: Learning Representations over Dynamic Graphs},author={Trivedi, Rakshit S and Farajtabar, Mehrdad and Biswal, Prasenjeet and Zha, Hongyuan},booktitle={International Conference on Learning Representations},month=apr,year={2019}}
2018
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
@inproceedings{TriSisLunFalZhaMa18,title={LinkNBed: Multi-Graph Representation Learning with Entity Linkage},author={Trivedi, Rakshit S and Sisman, Bunyamin and Luna Dong, Xin and Faloutsos, Christos and Zha, Hongyuan and Ma, Jun},booktitle={Association for Computational Linguistics},month=jul,year={2018}}
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
@inproceedings{YanYeTriXuZha18,title={Deep Mean Field Games for Learning Optimal Behavior Policy of Large Populations},author={Yang, Jiachen and Ye, Xiaojing and Trivedi, Rakshit S and Xu, Huan and Zha, Hongyuan},booktitle={International Conference on Learning Representations},month=apr,year={2018}}
2017
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
@inproceedings{TriDaiWanSon17,title={Know-Evolve: Deep Temporal Reasoningfor Dynamic Knowledge Graphs},author={Trivedi, Rakshit S and Dai, Hanjun and Wang, Yichen and Song, Le},booktitle={International Conference on Machine Learning},month=jul,year={2017}}
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
@inproceedings{FarYanYeTriKhaLiXuSonZha17,title={Fake News Mitigation via Point Process Based Intervention},author={Farajtabar, Mehrdad and Yang, Jiachen and Ye, Xiaojing and Trivedi, Rakshit S and Khalil, Elias and Li, Shuang and Xu, Huan and Song, Le and Zha, Hongyuan},booktitle={International Conference on Machine Learning},month=jul,year={2017}}
2016
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
@inproceedings{WanDuTriZha16,title={Coevolutionary Latent Feature Processes for Continuous-Time User-Item Interactions},author={Wang, Yichen and Du, Nan and Trivedi, Rakshit S and Zha, Hongyuan},booktitle={Neural Information Processing Systems},month=dec,year={2016}}
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
@inproceedings{DuDaiTriUpaGomSon16,title={Recurrent Marked Temporal Point Process},author={Du, Nan and Dai, Hanjun and Trivedi, Rakshit S and Upadhyay, Utkarsh and Gomez-Rodriguez, Manuel and Song, Le},booktitle={ACM SIGKDD Conference on Knowledge Discovery and Data Mining},month=aug,year={2016}}
Recurrent Coevolutionary Feature Embedding Processes for Recommendation.
Hanjun Dai, Yichen Wang, Rakshit S Trivedi, and Le Song
@article{DaiWanTriSon16,author={Dai, Hanjun and Wang, Yichen and Trivedi, Rakshit S and Song, Le},title={Recurrent Coevolutionary Feature Embedding Processes for Recommendation.},journal={RecSys DLRS workshop},month=sep,year={2016}}
2013
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
@inproceedings{TriEis13,title={Discourse Connectors for Latent Subjectivity in Sentiment Analysis},author={Trivedi, Rakshit S and Eisenstein, Jacob},month=dec,year={2013},booktitle={North American Chapter of the Association for Computational Linguistics},}