Sanjeev Kulkarni

15 papers A 1B 2C 1Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adversarially Robust Clustering With Optimality Guarantees.
IEEE Trans. Inf. Theory
Soham Jana, Kun Yang, Sanjeev Kulkarni
2025 J jnl
Gaussian Certified Unlearning in High Dimensions: A Hypothesis Testing Approach.
CoRR
Aaradhya Pandey, Arnab Auddy, Haolin Zou, Arian Maleki, Sanjeev Kulkarni
2024 B conf
Adaptive Curves for Optimally Efficient Market Making.
AFT
Viraj Nadkarni, Sanjeev Kulkarni, Pramod Viswanath
2024 J jnl
Adaptive Curves for Optimally Efficient Market Making.
CoRR
Viraj Nadkarni, Sanjeev Kulkarni, Pramod Viswanath
2024 J jnl
On the Convergence of a Federated Expectation-Maximization Algorithm.
CoRR
Zhixu Tao, Rajita Chandak, Sanjeev Kulkarni
2024 J jnl
Reinforcement Learning Paycheck Optimization for Multivariate Financial Goals.
CoRR
Melda Alaluf, Giulia Crippa, Sinong Geng, Zijian Jing, Nikhil Krishnan, Sanjeev Kulkarni, Wyatt Navarro, Ronnie Sircar, Jonathan Tang
2024 J jnl
Self-Play with Adversarial Critic: Provable and Scalable Offline Alignment for Language Models.
CoRR
Xiang Ji, Sanjeev Kulkarni, Mengdi Wang, Tengyang Xie
2024 B conf
Thinking Fast and Slow: Data-Driven Adaptive DeFi Borrow-Lending Protocol.
AFT
Mahsa Bastankhah, Viraj Nadkarni, Chi Jin, Sanjeev Kulkarni, Pramod Viswanath
2024 J jnl
Thinking Fast and Slow: Data-Driven Adaptive DeFi Borrow-Lending Protocol.
CoRR
Mahsa Bastankhah, Viraj Nadkarni, Xuechao Wang, Chi Jin, Sanjeev Kulkarni, Pramod Viswanath
2024 — conf
ZeroSwap: Data-Driven Optimal Market Making in Decentralized Finance.
FC (1)
Viraj Nadkarni, Jiachen Hu, Ranvir Rana, Chi Jin, Sanjeev Kulkarni, Pramod Viswanath
2023 J jnl
Reinforcement learning paycheck optimization for multivariate financial goals.
Risk Decis. Anal.
Melda Alaluf, Giulia Crippa, Sinong Geng, Zijian Jing, Nikhil Krishnan, Sanjeev Kulkarni, Wyatt Navarro, Ronnie Sircar, Jonathan Tang
2014 C conf
Distributed Kalman filtering in the presence of packet delays and losses.
FUSION
Marc Reinhardt, Benjamin Noack, Sanjeev Kulkarni, Uwe D. Hanebeck
2014 — conf
Generalized covariance intersection based on noise decomposition.
MFI
Marc Reinhardt, Sanjeev Kulkarni, Uwe D. Hanebeck
2001 J jnl
Master-Worker: An Enabling Framework for Applications on the Computational Grid.
Clust. Comput.
Jean-Pierre Goux, Sanjeev Kulkarni, Michael Yoder, Jeff T. Linderoth
2000 A conf
An Enabling Framework for Master-Worker Applications on the Computational Grid.
HPDC
Jean-Pierre Goux, Sanjeev Kulkarni, Jeff T. Linderoth, Michael Yoder