Information theoretic validity of penalized likelihood. - Sabyasachi Chatterjee; Andrew R. Barron (ISIT, 2014)

Non cooperative primary users-localization in cognitive radio networks. - Sabyasachi Chatterjee; Prabir Banerjee (ReTIS, 2015)

Local Minimax Complexity of Stochastic Convex Optimization. - Sabyasachi Chatterjee; John C. Duchi; John D. Lafferty; Yuancheng Zhu (NIPS, 2016)

Optimized Flexible Power Selection for Opportunistic Underlay Cognitive Radio Networks. - Sabyasachi Chatterjee; Prabir Banerjee; Mita Nasipuri (Wirel. Pers. Commun., 2017)

Prediction Rule Reshaping. - Matt Bonakdarpour; Sabyasachi Chatterjee; Rina Foygel Barber; John Lafferty (ICML, 2018)

A new protocol for concurrently allocating licensed spectrum to underlay cognitive users. - Sabyasachi Chatterjee; Prabir Banerjee; Mita Nasipuri (Digit. Commun. Networks, 2018)

Computing singularly perturbed differential equations. - Sabyasachi Chatterjee; Amit Acharya; Zvi Artstein (J. Comput. Phys., 2018)

Denoising Flows on Trees. - Sabyasachi Chatterjee; John D. Lafferty (IEEE Trans. Inf. Theory, 2018)

Estimation in Tournaments and Graphs Under Monotonicity Constraints. - Sabyasachi Chatterjee; Sumit Mukherjee (IEEE Trans. Inf. Theory, 2019)

Plasticity without phenomenology: a first step. - Sabyasachi Chatterjee; Giacomo Po; Xiaohan Zhang; Amit Acharya; Nasr Ghoniem (CoRR, 2020)

Enhancing localization accuracy of collaborative cognitive radio users by internal noise mitigation. - Sabyasachi Chatterjee; Prabir Banerjee; Mita Nasipuri (Telecommun. Syst., 2021)

New Risk Bounds for 2D Total Variation Denoising. - Sabyasachi Chatterjee; Subhajit Goswami (IEEE Trans. Inf. Theory, 2021)

Spatially Adaptive Online Prediction of Piecewise Regular Functions. - Sabyasachi Chatterjee; Subhajit Goswami (ALT, 2023)

Minmax Trend Filtering: A Locally Adaptive Nonparametric Regression Method via Pointwise Min Max Optimization. - Sabyasachi Chatterjee (CoRR, 2024)

LASER: A new method for locally adaptive nonparametric regression. - Sabyasachi Chatterjee; Subhajit Goswami; Soumendu Sundar Mukherjee (CoRR, 2024)

Risk Bounds For Distributional Regression. - Carlos Misael Madrid Padilla; Oscar Hernan Madrid Padilla; Sabyasachi Chatterjee (CoRR, 2025)