Chakrabarti, Shouvanik

6 publications

NeurIPS 2025 A Unified Framework for Provably Efficient Algorithms to Estimate Shapley Values Tyler Chen, Akshay Seshadri, Mattia Jacopo Villani, Pradeep Niroula, Shouvanik Chakrabarti, Archan Ray, Pranav Deshpande, Romina Yalovetzky, Marco Pistoia, Niraj Kumar

NeurIPS 2025 Fast Zeroth-Order Convex Optimization with Quantum Gradient Methods Junhyung Lyle Kim, Brandon Augustino, Dylan Herman, Enrico Fontana, Jacob Watkins, Marco Pistoia, Shouvanik Chakrabarti

ICML 2023 Analyzing Convergence in Quantum Neural Networks: Deviations from Neural Tangent Kernels Xuchen You, Shouvanik Chakrabarti, Boyang Chen, Xiaodi Wu

AAAI 2021 Sublinear Classical and Quantum Algorithms for General Matrix Games Tongyang Li, Chunhao Wang, Shouvanik Chakrabarti, Xiaodi Wu

NeurIPS 2019 Quantum Wasserstein Generative Adversarial Networks Shouvanik Chakrabarti, Huang Yiming, Tongyang Li, Soheil Feizi, Xiaodi Wu

ICML 2019 Sublinear Quantum Algorithms for Training Linear and Kernel-Based Classifiers Tongyang Li, Shouvanik Chakrabarti, Xiaodi Wu