| How to use Generative AI to Build Content for Real-World Applications
GTC 2023 [Link] |
Mar. 2023 |
| Boosted Embeddings for Time-Series Forecasting
International Conference on Machine Learning, Optimization, and Data Science 2022 [Link] |
Oct. 2022 |
| KATRec: Knowledge aware attentive sequential recommendations
Discovery Science 2021 [Link] |
Oct. 2021 |
| Knowledge Graph Attention for Sequential Recommendations
RecSys 2021 [Link] |
Oct. 2021 |
| Block-Structure Based Time-Series Models For Graph Sequences
INFORMS 2019 [Link] |
Oct. 2019 |
| Managing Adoption under Network Effects
Proceedings of the 14th Workshop on the Economics of Networks, Systems, and Computation (NetEcon) [Link] |
Jun. 2019 |
| Managing Adoption under Positive Externalities via Dynamic Pricing
INFORMS 2019 Revenue Management and Pricing (RMP) |
Jun. 2019 |
| Block-Structure Based Models for Graph Sequences
AT&T Graduate Student Symposium [Link] |
Nov. 2018 |
| Dynamic Pricing of New Products Under Anticipatory Adoption Models
INFORMS 2018 |
Nov. 2018 |
| Block-Structure Based Time-Series Models For Graph Sequences
Data Mining and Decision Analytics Workshop (DMDA) |
Nov. 2018 |
| Block-Structure Based for Graph Sequences
Midwest Machine Learning Symposium (MMLS) [Video] |
June 2018 |
| Block-Structure Based Time-Series Models For Graph Sequences
SIAM Data Mining (SDM) Doctoral Forum |
May 2018 |
| New Algorithms for Inference in Graph Sequence Models
INFORMS 2017 |
Oct. 2017 |
| Block-Structure Based Time-Series Models For Graph Sequences
NIPS Workshop on Advances in Modeling and Learning Interactions from Complex Data |
Dec. 2017 |
| Prescriptive Analytics for Store Flyer Design
Information and Decision Sciences seminar, University of Illinois at Chicago |
Oct. 2016 |
| A recurrent neural network for solving convex problems
University of Tehran |
Jan 2012 |