Sayak Chakrabarty

According to our database, Sayak Chakrabarty authored at least 17 papers between 2022 and 2026.

Collaborative distances:

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

2026

Adaptive Estimation and Optimal Control in Offline Contextual MDPs without Stationarity.

Riddhiman Bhattacharyya, Sayak Chakrabarty, Imon Banerjee

CoRR, May, 2026

Is Sliding Window All You Need? An Open Framework for Long-Sequence Recommendation.

Sayak Chakrabarty, Souradip Pal

CoRR, April, 2026

Identifying and Mitigating Gender Cues in Academic Recommendation Letters: An Interpretability Case Study.

Charlotte S. Alexander, Shane Storks, Souradip Pal, Sayak Chakrabarty, Arushi Sharma, Mlen-Too Wesley, Bailey Russo

CoRR, April, 2026

PixRec: Leveraging Visual Context for Next-Item Prediction in Sequential Recommendation.

Sayak Chakrabarty, Souradip Pal

CoRR, January, 2026

Adaptive Model Selection in Offline Contextual MDP's without Stationarity.

Riddhiman Bhattacharya, Sayak Chakrabarty, Imon Banerjee

Trans. Mach. Learn. Res., 2026

Time-Constrained Recommendations: Reinforcement Learning Strategies for E-Commerce.

Sayak Chakrabarty, Souradip Pal

Proceedings of the 15th International Conference on Pattern Recognition Applications and Methods, 2026

2025

CLoVE: Personalized Federated Learning through Clustering of Loss Vector Embeddings.

Randeep Bhatia, Nikos Papadis, Murali S. Kodialam, T. V. Lakshman, Sayak Chakrabarty

CoRR, June, 2025

MM-PoE: Multiple Choice Reasoning via. Process of Elimination using Multi-Modal Models.

Sayak Chakrabarty, Souradip Pal

J. Open Source Softw., May, 2025

ReadmeReady: Free and Customizable Code Documentation with LLMs - A Fine-Tuning Approach.

Sayak Chakrabarty, Souradip Pal

J. Open Source Softw., May, 2025

CLT and Edgeworth Expansion for m-out-of-n Bootstrap Estimators of The Studentized Median.

Imon Banerjee, Sayak Chakrabarty

CoRR, May, 2025

AI-Driven Prediction of Material Deformation: Stress-Strain Curves Faster Than Crystal Plasticity Finite Element Simulation.

Sayak Chakrabarty, Shahriyar Keshavarz, Yuwei Mao, Andrew C. E. Reid, Alok N. Choudhary, Ankit Agrawal

Proceedings of the International Conference on Machine Learning and Applications, 2025

2024

SockDef: A Dynamically Adaptive Defense to a Novel Attack on Review Fraud Detection Engines.

Youzhi Zhang, Sayak Chakrabarty, Rui Liu, Andrea Pugliese, V. S. Subrahmanian

IEEE Trans. Comput. Soc. Syst., August, 2024

Free and Customizable Code Documentation with LLMs: A Fine-Tuning Approach.

Sayak Chakrabarty, Souradip Pal

CoRR, 2024

Judicial Support Tool: Finding the k Most Likely Judicial Worlds.

Maksim Bolonkin, Sayak Chakrabarty, Cristian Molinaro, V. S. Subrahmanian

Proceedings of the Scalable Uncertainty Management - 16th International Conference, 2024

2023

Single-Pass Pivot Algorithm for Correlation Clustering. Keep it simple!

Konstantin Makarychev, Sayak Chakrabarty

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On the Consistency of Maximum Likelihood Estimation of Probabilistic Principal Component Analysis.

Arghya Datta, Sayak Chakrabarty

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

A New Dynamically Changing Attack on Review Fraud Systems and a Dynamically Changing Ensemble Defense.

Youzhi Zhang, Sayak Chakrabarty, Rui Liu, Andrea Pugliese, V. S. Subrahmanian

Proceedings of the IEEE Intl. Conf. on Dependable, 2022