Introduction to Machine Learning

Older publications

Can a User Guess What Her Followers Want
With Adish Singla, Utkarsh Upadhyay and Manuel Gomez-Rodriguez
In WSDM, 2020
Also presented in the Workshop of Behavioral EC at ACM EC, 2019
[Paper|

Enhancing human learning via spaced repetition optimization
With Behzad Tabibian, Utkarsh Upadhyay, Ali Zarezade, Bernhard Scholkopf and Manuel Gomez-Rodriguez
In PNAS, 2019
Also presented in the Machine Teaching Workshop at NeurIPS, 2017
[Paper| Code]

Learning Network Traffic Dynamics Using Temporal Point Process
With Avirup Saha, Niloy Ganguly, Sandip Chakraborty
In IEEE Conference on Computer Communications (INFOCOM), 2019
[Paper]

On the Complexity of Opinions and Online Discussions
With Utkarsh Upadhyay, Ashish Pappu and Manuel Gomez Rodriguez
In ACM Conference on Web Search and Data Mining (WSDM), 2019
[Paper| Code]

Designing Deep Generative Models for Molecular Graphs
With Bidisha Samanta, Gourhari Jana, Pratim K. Chattaraj, Niloy Ganguly, and Manuel Gomez Rodriguez
In AAAI Conference on Artificial Intelligence (AAAI), 2019
Also presented in the Workshop of Theoretical Foundations and Applications of Deep Generative Models at ICML 2018
[Paper | Code]
Learning Linear Influence Models Between Actors from Transient Opinion Dynamics,
With Sourangshu Bhattacharya, Parantapa Bhattacharya, Niloy Ganguly, and Soumen Chakrabarti,
In ACM TWEB 2019 ,
[Paper]

Deep Reinforcement Learning of Marked Temporal Point Processes
With Utkarsh Upadhyay and Manuel Gomez Rodriguez
In the advances of Neural Information Processing Systems (NeurIPS), 2018
[ Paper | Code]

CRPP: Competing Recurrent Point Process for Modeling Visibility Dynamics in Information Diffusion
With Avirup Saha, Bidisha Samanta, Niloy Ganguly
In ACM Conference of Knowledge and Information Management Systems (CIKM), 2018
[Paper | Code |

Shaping Opinion Dynamics in Social Networks
With Sourangshu Bhattacharya, and Niloy Ganguly
In Proceedings of the International Conference on Autonomous Agents and MultiAgent Systems (AAMAS), Pages: 1336-1344, 2018
[Paper | Code ]

Steering Social Activity: A Stochastic Optimal Control Point of View
With Ali Zarezade, Utkarsh Upadhyay, Hamid Rabiee, and Manuel Gomez Rodriguez
In Journal of Machine Learning Research, vol:8(35), Pages: 1-35, 2018
[Paper | Code]

Demarcating Endogenous and Exogenous Opinion Diffusion Process on Social Networks
With Paramita Koley, Avirup Saha, Sourangshu Bhattacharya, and Niloy Ganguly
In TKDD 2019 (a previous version appeared in WWW 2018) ,
[Paper | Code]

Cheshire: An Online Algorithm for Activity Maximization in Social Networks
With Ali Zarezade, Hamid Rabiee, and Manuel Gomez Rodriguez,
Allerton Conference on Communication, Control, and Computing, 2017 (Invited Paper)
[Paper]

SLANT+: A Nonlinear Model for Opinion Dynamics in Social Networks
With Bhushan Kulkarni, Sumit Agarwal, Sourangshu Bhattacharya, and Niloy Ganguly
In Proceedings of IEEE International Conference on Data Mining (ICDM), Pages: 931-936, 2017
[Paper | Code ]

LMPP: A Large Margin Point Process Combining Reinforcement and Competition in Hashtag Popularity
With Bidisha Samanta, Abhijnan Chakraborty, and Niloy Ganguly,
In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), Pages: 2679-2685, 2017
[Paper | Code ]

STRM: A Sister Tweet Reinforcement Process for Modeling Hashtag Popularity
With Bidisha Samanta and Niloy Ganguly
In Proceedings of IEEE Conference on Computer Communications (INFOCOM), Pages: 1-9, 2017
[Paper | Code ]

Learning and Forecasting Opinion Dynamics in Social Networks
With Isabel Valera, Niloy Ganguly, Sourangshu Bhattacharya, and Manuel Gomez Rodriguez
In Advances in Neural Information Processing Systems (NIPS), Pages: 397-405, 2016
[Paper | Code]

Discriminative Link Prediction using Local, Community and Global Signals
With Sourangshu Bhattacharya, Sourav Sarkar, Niloy Ganguly, and Soumen Chakrabarti
In IEEE Transactions on Knowledge and Data Engineering, vol:28(8) Pages: 2057–2070, 2016
[Paper]

Knowlywood: Mining Activity Knowledge From Hollywood Narratives,
With Niket Tandon, Gerard De Melo and Gerhard Weikum,
In Proceedings of the ACM International on Conference on Information and Knowledge Management (CIKM), Pages:223–232, 2015
[Paper]

Lights, Camera, Action: Knowledge Extraction from Movie Scripts,
With Niket Tandon, Gerard De Melo and Gerhard Weikum,
Poster paper in the World Wide Web Conference (WWW), 2015,
[Paper].

Learning a Linear Influence Model Between Actors from Transient Opinion Dynamics,
With Sourangshu Bhattacharya, Parantapa Bhattacharya, Niloy Ganguly, and Soumen Chakrabarti,
In CIKM 2014 ,
[Paper| Code ]

Discriminative Link Prediction using Local Links, Node Features and Community Structure,
With Niloy Ganguly, and Soumen Chakrabarti,
In Proceedings of IEEE International Conference on Data Mining (ICDM), Pages:1009-1014, 2013,
[Paper].

Local Learning of Item Dissimilarity Using Content and Link Structure,
With Maunendra Sankar Desarkar, Niloy Ganguly, and Pabitra Mitra,
In Proceedings of ACM Conference on Recommender Systems (RecSys), Pages: 221–224, 2012, [Paper].