Publications

Vikram Kher, Jane H. Lee, Anay Mehrotra, Manolis Zampetakis (2026). Learning-Enabled Estimation: Tight Characterizations under Sample Selection Biases. EC ‘26.

Vikram Kher, Argyris Oikonomou, Manolis Zampetakis (2025). Prediction-Augmented Trees for Reliable Statistical Inference. Preprint.

Vikram Kher, Manolis Zampetakis (2025). Safely Learning Optimal Auctions: A Testable Learning Framework for Mechanism Design. ICML ‘25.

Yusuf Hakan Kalayci, David Kempe, Vikram Kher (2024). Proportional Representation in Metric Spaces and Low-Distortion Committee Selection. AAAI ‘24.

Sepehr Assadi, Vikram Kher, George Li, Ariel Schvartzman (2023). Fine-Grained Buy-Many Mechanisms Are Not Much Better Than Bundling. EC ‘23.

Dhruv Patel, Vikram Kher, et al (2021). Machine learning based predictors for COVID-19 disease severity. Journal of Scientific Reports.