168 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Sorbonne UniversitéFR44 papers
- Centre National de la Recherche ScientifiqueFR27 papers
- Université Paris 1 Panthéon-SorbonneFR25 papers
- Laboratoire de Physique Théorique et Hautes EnergiesFR8 papers
- International Institute of Information Technology BangaloreIN6 papers
- National University of SingaporeSG5 papers
- Duke-NUS Medical SchoolSG4 papers
- Indian Statistical InstituteIN4 papers
- Institut d'Astrophysique de ParisFR4 papers
- Khalifa University of Science and TechnologyAE4 papers
- Université Paris-SaclayFR4 papers
- Université Paris Sciences et LettresFR4 papers
4 papers · 1 filter
Skew-Probabilistic Neural Networks for Learning from Imbalanced Data
Shraddha M. Naik, Tanujit Chakraborty, Madhurima Panja +2
Real-world datasets often exhibit imbalanced data distribution, where certain class levels are severely underrepresented. In such cases, traditional pattern classifiers have shown…
Thompson sampling for zero-inflated count outcomes with an application to the Drink Less mobile health study
Xueqing Liu, Nina Deliu, Tanujit Chakraborty +2
Mobile health (mHealth) interventions often aim to improve distal outcomes, such as clinical conditions, by optimizing proximal outcomes through just-in-time adaptive interventions…
Probabilistic AutoRegressive Neural Networks for Accurate Long-range Forecasting
Madhurima Panja, Tanujit Chakraborty, Uttam Kumar +1
Forecasting time series data is a critical area of research with applications spanning from stock prices to early epidemic prediction. While numerous statistical and machine learni…
Streaming Bayesian inference: theoretical limits and mini-batch approximate message-passing
Andre Manoel, Florent Krzakala, Eric W. Tramel +1
In statistical learning for real-world large-scale data problems, one must often resort to "streaming" algorithms which operate sequentially on small batches of data. In this work,…