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activities

publications

Discourse 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

Recurrent 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).

paper

Recurrent 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.

paper

Coevolutionary 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.

paper

Fake 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 talk

Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs

Rakshit Trivedi, Hanjun Dai, Yichen Wang, Le Song

International Conference on Machine Learning (ICML) 2017.

paper talk

Deep 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).

paper

LinkNBed: 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.

paper

DyRep: Representation Learning over Dynamic Graph

Rakshit Trivedi, Mehrdad Farajtabar, Prasenjeet Biswal, Hongyuan Zha

International Conference on Learning Representations (ICLR) 2019.

paper

GraphOpt: Learning Optimization Models for Graph Formation

Rakshit Trivedi, Jaichen Yang, Hongyuan Zha

International Conference on Machine Learning (ICML) 2020.

paper talk

Learning Strategic Network Emergence Games

Rakshit Trivedi, Hongyuan Zha

Advances in Neural Information Processing Systems (Neurips) 2020.

paper talk

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

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

To Appear in International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS) 2022.

paper

CrowdPlay: Crowdsourcing human demonstration data for offline learning in Atari games

Matthias Gerstgrasser, Rakshit Trivedi and David C. Parkes

To Appear in International Conference on Learning Representations (ICLR) 2022.

paper

talks

teaching