Suhas Vijaykumar

According to our database, Suhas Vijaykumar authored at least 11 papers between 2016 and 2025.

Collaborative distances:

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

2025

Adventures in Demand Analysis Using AI.

Philipp Bach, Victor Chernozhukov, Sven Klaassen, Martin Spindler, Jan Teichert-Kluge, Suhas Vijaykumar

CoRR, January, 2025

2024

DoubleMLDeep: Estimation of Causal Effects with Multimodal Data.

Sven Klaassen, Jan Teichert-Kluge, Philipp Bach, Victor Chernozhukov, Martin Spindler, Suhas Vijaykumar

CoRR, 2024

2023

Hedonic Prices and Quality Adjusted Price Indices Powered by AI.

Patrick Bajari, Zhihao Cen, Victor Chernozhukov, Manoj Manukonda, Suhas Vijaykumar, Jin Wang, Ramón Huerta, Junbo Li, Ling Leng, George Monokroussos, Shan Wan

CoRR, 2023

Kernel Ridge Regression Inference.

Rahul Singh, Suhas Vijaykumar

CoRR, 2023

Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions.

Abhineet Agarwal, Anish Agarwal, Suhas Vijaykumar

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Frank Wolfe Meets Metric Entropy.

Suhas Vijaykumar

CoRR, 2022

Classification as Direction Recovery: Improved Guarantees via Scale Invariance.

Suhas Vijaykumar, Claire Lazar Reich

CoRR, 2022

2021

Localization, Convexity, and Star Aggregation.

Suhas Vijaykumar

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Possibility in Algorithmic Fairness: Can Calibration and Equal Error Rates Be Reconciled?

Claire Lazar Reich, Suhas Vijaykumar

Proceedings of the 2nd Symposium on Foundations of Responsible Computing, 2021

2020

A Resolution in Algorithmic Fairness: Calibrated Scores for Fair Classifications.

Claire Lazar, Suhas Vijaykumar

CoRR, 2020

2016

Higher Bruhat Orders in Type B.

Seth Shelley-Abrahamson, Suhas Vijaykumar

Electron. J. Comb., 2016