Philips George John

According to our database, Philips George John authored at least 9 papers between 2019 and 2026.

Collaborative distances:

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

2026

Testing Sparse Functions over the Reals.

Vipul Arora, Arnab Bhattacharyya, Philips George John, Sayantan Sen

CoRR, March, 2026

2025

Product Distribution Learning with Imperfect Advice.

Arnab Bhattacharyya, Davin Choo, Philips George John, Themis Gouleakis

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Learning multivariate Gaussians with imperfect advice.

Arnab Bhattacharyya, Davin Choo, Philips George John, Themis Gouleakis

Proceedings of the Forty-second International Conference on Machine Learning, 2025

p-Mean Regret for Stochastic Bandits.

Anand Krishna, Philips George John, Adarsh Barik, Vincent Y. F. Tan

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Efficient, Low-Regret, Online Reinforcement Learning for Linear MDPs.

Philips George John, Arnab Bhattacharyya, Silviu Maniu, Dimitrios Myrisiotis, Zhenan Wu

CoRR, 2024

Distribution Learning Meets Graph Structure Sampling.

Arnab Bhattacharyya, Sutanu Gayen, Philips George John, Sayantan Sen, N. V. Vinodchandran

CoRR, 2024

2021

Reliable Counterfactual Explanations for Autoencoder based Anomalies.

Swastik Haldar, Philips George John, Diptikalyan Saha

Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021

2020

Verifying Individual Fairness in Machine Learning Models.

Philips George John, Deepak Vijaykeerthy, Diptikalyan Saha

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

2019

Average Bias and Polynomial Sources.

Arnab Bhattacharyya, Philips George John, Suprovat Ghoshal, Raghu Meka

Electron. Colloquium Comput. Complex., 2019