Average Bias and Polynomial Sources. - Arnab Bhattacharyya 001; Philips George John; Suprovat Ghoshal; Raghu Meka (Electron. Colloquium Comput. Complex., 2019)

Verifying Individual Fairness in Machine Learning Models. - Philips George John; Deepak Vijaykeerthy; Diptikalyan Saha (UAI, 2020)

Reliable Counterfactual Explanations for Autoencoder based Anomalies. - Swastik Haldar; Philips George John; Diptikalyan Saha (COMAD/CODS, 2021)

Distribution Learning Meets Graph Structure Sampling. - Arnab Bhattacharyya 001; Sutanu Gayen; Philips George John; Sayantan Sen; N. V. Vinodchandran (CoRR, 2024)

Efficient, Low-Regret, Online Reinforcement Learning for Linear MDPs. - Philips George John; Arnab Bhattacharyya 001; Silviu Maniu; Dimitrios Myrisiotis; Zhenan Wu (CoRR, 2024)

Learning multivariate Gaussians with imperfect advice. - Arnab Bhattacharyya 001; Davin Choo; Philips George John; Themis Gouleakis (CoRR, 2024)

p-Mean Regret for Stochastic Bandits. - Anand Krishna; Philips George John; Adarsh Barik; Vincent Y. F. Tan (AAAI, 2025)