Viraj Nadkarni

According to our database, Viraj Nadkarni authored at least 11 papers between 2023 and 2026.

Collaborative distances:

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

2026

ParlayMarket: Automated Market Making for Parlay-style Joint Contracts.

Ranvir Rana, Viraj Nadkarni, Niusha Moshrefi, Pramod Viswanath

CoRR, March, 2026

2025

Automated Market Making for Energy Sharing.

Michele Fabi, Viraj Nadkarni, Leonardo Leone, Matheus V. X. Ferreira

CoRR, December, 2025

Split the Yield, Share the Risk: Pricing, Hedging and Fixed rates in DeFi.

Viraj Nadkarni, Pramod Viswanath

CoRR, May, 2025

2024

AgileRate: Bringing Adaptivity and Robustness to DeFi Lending Markets.

Mahsa Bastankhah, Viraj Nadkarni, Xuechao Wang, Pramod Viswanath

CoRR, 2024

Thinking Fast and Slow: Data-Driven Adaptive DeFi Borrow-Lending Protocol.

Mahsa Bastankhah, Viraj Nadkarni, Xuechao Wang, Chi Jin, Sanjeev Kulkarni, Pramod Viswanath

CoRR, 2024

Influencing Bandits: Arm Selection for Preference Shaping.

Viraj Nadkarni, D. Manjunath, Sharayu Moharir

CoRR, 2024

ZeroSwap: Data-Driven Optimal Market Making in Decentralized Finance.

Viraj Nadkarni, Jiachen Hu, Ranvir Rana, Chi Jin, Sanjeev Kulkarni, Pramod Viswanath

Proceedings of the Financial Cryptography and Data Security, 2024

Adaptive Curves for Optimally Efficient Market Making.

Viraj Nadkarni, Sanjeev Kulkarni, Pramod Viswanath

Proceedings of the 6th Conference on Advances in Financial Technologies, 2024

Thinking Fast and Slow: Data-Driven Adaptive DeFi Borrow-Lending Protocol.

Mahsa Bastankhah, Viraj Nadkarni, Chi Jin, Sanjeev Kulkarni, Pramod Viswanath

Proceedings of the 6th Conference on Advances in Financial Technologies, 2024

2023

ZeroSwap: Data-driven Optimal Market Making in DeFi.

Viraj Nadkarni, Jiachen Hu, Ranvir Rana, Chi Jin, Sanjeev R. Kulkarni, Pramod Viswanath

CoRR, 2023

CRISP: Curriculum based Sequential neural decoders for Polar code family.

S. Ashwin Hebbar, Viraj Vivek Nadkarni, Ashok Vardhan Makkuva, Suma Bhat, Sewoong Oh, Pramod Viswanath

Proceedings of the International Conference on Machine Learning, 2023