Higher Bruhat Orders in Type B. - Seth Shelley-Abrahamson; Suhas Vijaykumar (Electron. J. Comb., 2016)

A Resolution in Algorithmic Fairness: Calibrated Scores for Fair Classifications. - Claire Lazar; Suhas Vijaykumar (CoRR, 2020)

A Possibility in Algorithmic Fairness: Can Calibration and Equal Error Rates Be Reconciled? - Claire Lazar Reich; Suhas Vijaykumar (FORC, 2021)

Localization, Convexity, and Star Aggregation. - Suhas Vijaykumar (NeurIPS, 2021)

Stability and Efficiency of Random Serial Dictatorship. - Suhas Vijaykumar (CoRR, 2021)

Classification as Direction Recovery: Improved Guarantees via Scale Invariance. - Suhas Vijaykumar; Claire Lazar Reich (CoRR, 2022)

Frank Wolfe Meets Metric Entropy. - Suhas Vijaykumar (CoRR, 2022)

Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions. - Abhineet Agarwal; Anish Agarwal; Suhas Vijaykumar (NeurIPS, 2023)

Kernel Ridge Regression Inference. - Rahul Singh; Suhas Vijaykumar (CoRR, 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)

DoubleMLDeep: Estimation of Causal Effects with Multimodal Data. - Sven Klaassen; Jan Teichert-Kluge; Philipp Bach; Victor Chernozhukov; Martin Spindler; Suhas Vijaykumar (CoRR, 2024)

Adventures in Demand Analysis Using AI. - Philipp Bach; Victor Chernozhukov; Sven Klaassen; Martin Spindler; Jan Teichert-Kluge; Suhas Vijaykumar (CoRR, 2025)