MeltingPot Contest
Rakshit Trivedi, Akbir Khan, Jesse Clifton, Lewis Hammond, John Agapiou, Edgar Dueñez-Guzman, Jayd Matyas, Dylan Hadfield-Menell and Joel Leibo
NeurIPS 2023 Competition [Report coming soon!].
talk
Publications
Plug-and-Play Controllable Graph Generation with Diffusion Models
Kartik Sharma, Srijan Kumar and Rakshit Trivedi
Workshop on Structured Probabilistic Inference & Generative Modeling (ICML) 2023.
paperTemporal Dynamics-Aware Adversarial Attacks on Discrete-Time Dynamic Graph Models
Kartik Sharma, Rakshit Trivedi, Rohit Sridhar and Srijan Kumar
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2023.
paperCrowdPlay: Crowdsourcing human demonstration data for offline learning in Atari games
Matthias Gerstgrasser, Rakshit Trivedi and David C. Parkes
International Conference on Learning Representations (ICLR) 2022.
paperAdaptive Incentive Design with Multi-Agent Meta-Gradient Reinforcement Learning
Jiachen Yang, Ethan Wang, Rakshit Trivedi, Tuo Zhao, Hongyuan Zha
International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS) 2022.
paperLearning Strategic Network Emergence Games
Rakshit Trivedi, Hongyuan Zha
Advances in Neural Information Processing Systems (Neurips) 2020.
paper talkGraphOpt: Learning Optimization Models for Graph Formation
Rakshit Trivedi, Jaichen Yang, Hongyuan Zha
International Conference on Machine Learning (ICML) 2020.
paper talkDyRep: Representation Learning over Dynamic Graph
Rakshit Trivedi, Mehrdad Farajtabar, Prasenjeet Biswal, Hongyuan Zha
International Conference on Learning Representations (ICLR) 2019.
paperLinkNBed: Multi-Graph Representation Learning with Entity Linkage
Rakshit Trivedi, Bunyamin Sisman, Xin Luna Dong, Christos Faloutsos, Hongyuan Zha, Jun Ma
Annual Meeting of the Association for Computational Linguistics (ACL) 2018.
paperDeep Mean Field Games for Learning Optimal Behavior Policy of Large Populations
Jiachen Yang, Xiaojing Ye, Rakshit Trivedi, Huan Xu, Hongyuan Zha
International Conference on Learning Representations (ICLR) 2018 (Oral, 2% acceptance rate).
paperKnow-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs
Rakshit Trivedi, Hanjun Dai, Yichen Wang, Le Song
International Conference on Machine Learning (ICML) 2017.
paper talkFake News Mitigation via Point Process Based Intervention
Mehrdad Farajtabar, Jiachen Yang, Xiaojing Ye, Rakshit Trivedi, Elias Khalil, Shuang Li, Huan Xu, Le Song, Hongyuan Zha
International Conference on Machine Learning (ICML) 2017.
paper talkCoevolutionary Latent Feature Processes for Continuous-Time User-Item Interactions
Yichen Wang, Nan Du, Rakshit Trivedi, Le Song
Advances in Neural Information Processing Systems (Neurips) 2016.
paperRecurrent Marked Temporal Point Process: Embedding Event History to Vector
Nan Du, Hanjun Dai, Rakshit Trivedi, Utkarsh Upadhyay, Manuel Gomez-Rodriguez, Le Song
Knowledge Discovery and Data Mining (KDD) 2016.
paperRecurrent Coevolutionary Feature Embedding Processes for Recommendation
Hanjun Dai, Yichen Wang, Rakshit Trivedi, Le Song
Recsys Workshop on Deep Learning for Recommendation Systems (DLRS) 2016 (Best Paper).
paperDiscourse Connectors for Latent Subjectivity in Sentiment Analysis
Rakshit Trivedi, Jacob Eisenstein
North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) 2013.
paper