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2020 – today
- 2026
[i8]Vipul Arora, Arnab Bhattacharyya, Philips George John, Sayantan Sen:
Testing Sparse Functions over the Reals. CoRR abs/2603.28061 (2026)- 2025
- [c4]Anand Krishna, Philips George John
, Adarsh Barik, Vincent Y. F. Tan:
p-Mean Regret for Stochastic Bandits. AAAI 2025: 17966-17973 - [c3]Arnab Bhattacharyya, Davin Choo, Philips George John, Themis Gouleakis:
Learning multivariate Gaussians with imperfect advice. ICML 2025 - [i7]Arnab Bhattacharyya, Davin Choo, Philips George John, Themis Gouleakis:
Product distribution learning with imperfect advice. CoRR abs/2511.10366 (2025) - 2024
- [i6]Arnab Bhattacharyya, Sutanu Gayen, Philips George John, Sayantan Sen, N. V. Vinodchandran:
Distribution Learning Meets Graph Structure Sampling. CoRR abs/2405.07914 (2024) - [i5]Philips George John, Arnab Bhattacharyya, Silviu Maniu, Dimitrios Myrisiotis, Zhenan Wu:
Efficient, Low-Regret, Online Reinforcement Learning for Linear MDPs. CoRR abs/2411.10906 (2024) - [i4]Arnab Bhattacharyya, Davin Choo, Philips George John, Themis Gouleakis:
Learning multivariate Gaussians with imperfect advice. CoRR abs/2411.12700 (2024) - [i3]Anand Krishna, Philips George John, Adarsh Barik, Vincent Y. F. Tan:
p-Mean Regret for Stochastic Bandits. CoRR abs/2412.10751 (2024) - 2021
- [c2]Swastik Haldar, Philips George John, Diptikalyan Saha:
Reliable Counterfactual Explanations for Autoencoder based Anomalies. COMAD/CODS 2021: 83-91 - 2020
- [c1]Philips George John, Deepak Vijaykeerthy, Diptikalyan Saha:
Verifying Individual Fairness in Machine Learning Models. UAI 2020: 749-758 - [i2]Philips George John, Deepak Vijaykeerthy, Diptikalyan Saha:
Verifying Individual Fairness in Machine Learning Models. CoRR abs/2006.11737 (2020)
2010 – 2019
- 2019
- [i1]Arnab Bhattacharyya, Philips George John, Suprovat Ghoshal, Raghu Meka:
Average Bias and Polynomial Sources. Electron. Colloquium Comput. Complex. TR19: Article TR19-079 (2019)
Coauthor Index
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