5 citations · 8 across the 7 of their papers we have counts for
4 papers · 1 filter
DeepSeekMath Meets Order Book: Group-Aware Policy Optimization for High-Frequency Directional Trading
Sayak Charabarty, Souradip Pal
This paper studies reinforcement learning for high-frequency trading on limit order books by pairing an Order-Flow-based state model with policy-gradient methods. Instead of value-…
Is Sliding Window All You Need? An Open Framework for Long-Sequence Recommendation
Sayak Chakrabarty, Souradip Pal
Long interaction histories are central to modern recommender systems, yet training with long sequences is often dismissed as impractical under realistic memory and latency budgets.…
Identifying and Mitigating Gender Cues in Academic Recommendation Letters: An Interpretability Case Study
Charlotte S. Alexander, Shane Storks, Souradip Pal +4
Letters of recommendation (LoRs) can carry patterns of implicitly gendered language that can inadvertently influence downstream decisions, e.g. in hiring and admissions. In this wo…
Time-Constrained Recommendations: Reinforcement Learning Strategies for E-Commerce
Sayak Chakrabarty, Souradip Pal
Unlike traditional recommendation tasks, finite user time budgets introduce a critical resource constraint, requiring the recommender system to balance item relevance and evaluatio…