Rakshit Trivedi

According to our database, Rakshit Trivedi authored at least 19 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Temporal Dynamics-Aware Adversarial Attacks on Discrete-Time Dynamic Graph Models.

Kartik Sharma, Rakshit Trivedi, Rohit Sridhar, Srijan Kumar

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

CrowdPlay: Crowdsourcing Human Demonstrations for Offline Learning.

Matthias Gerstgrasser, Rakshit Trivedi, David C. Parkes

Proceedings of the Tenth International Conference on Learning Representations, 2022

Adaptive Incentive Design with Multi-Agent Meta-Gradient Reinforcement Learning.

Jiachen Yang, Ethan Wang, Rakshit Trivedi, Tuo Zhao, Hongyuan Zha

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2020

Learning Dynamic Processes over graphs.

Rakshit Trivedi

PhD thesis, 2020

Learning Strategic Network Emergence Games.

Rakshit Trivedi, Hongyuan Zha

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

GraphOpt: Learning Optimization Models of Graph Formation.

Rakshit Trivedi, Jiachen Yang, Hongyuan Zha

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

DyRep: Learning Representations over Dynamic Graphs.

Rakshit Trivedi, Mehrdad Farajtabar, Prasenjeet Biswal, Hongyuan Zha

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Representation Learning over Dynamic Graphs.

Rakshit Trivedi, Mehrdad Farajtabar, Prasenjeet Biswal, Hongyuan Zha

CoRR, 2018

Learning Deep Mean Field Games for Modeling Large Population Behavior.

Jiachen Yang, Xiaojing Ye, Rakshit Trivedi, Huan Xu, Hongyuan Zha

Proceedings of the 6th International Conference on Learning Representations, 2018

LinkNBed: Multi-Graph Representation Learning with Entity Linkage.

Rakshit Trivedi, Bunyamin Sisman, Xin Luna Dong, Christos Faloutsos, Jun Ma, Hongyuan Zha

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Deep Mean Field Games for Learning Optimal Behavior Policy of Large Populations.

Jiachen Yang, Xiaojing Ye, Rakshit Trivedi, Huan Xu, Hongyuan Zha

CoRR, 2017

Know-Evolve: Deep Reasoning in Temporal Knowledge Graphs.

Rakshit Trivedi, Hanjun Dai, Yichen Wang, Le Song

CoRR, 2017

Tweeting about journal articles: Engagement, marketing or just gibberish?

Nicolás Robinson-García, Rakshit Trivedi, Rodrigo Costas, Kimberley R. Isett, Julia E. Melkers, Diana Hicks

CoRR, 2017

Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs.

Rakshit Trivedi, Hanjun Dai, Yichen Wang, Le Song

Proceedings of the 34th International Conference on Machine Learning, 2017

Fake News Mitigation via Point Process Based Intervention.

Mehrdad Farajtabar, Jiachen Yang, Xiaojing Ye, Huan Xu, Rakshit Trivedi, Elias B. Khalil, Shuang Li, Le Song, Hongyuan Zha

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Recurrent Coevolutionary Feature Embedding Processes for Recommendation.

Hanjun Dai, Yichen Wang, Rakshit Trivedi, Le Song

CoRR, 2016

Recurrent Coevolutionary Latent Feature Processes for Continuous-Time Recommendation.

Hanjun Dai, Yichen Wang, Rakshit Trivedi, Le Song

Proceedings of the 1st Workshop on Deep Learning for Recommender Systems, 2016

Coevolutionary Latent Feature Processes for Continuous-Time User-Item Interactions.

Yichen Wang, Nan Du, Rakshit Trivedi, Le Song

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Recurrent Marked Temporal Point Processes: Embedding Event History to Vector.

Nan Du, Hanjun Dai, Rakshit Trivedi, Utkarsh Upadhyay, Manuel Gomez-Rodriguez, Le Song

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016