Suhas Vijaykumar

14 papers A* 2Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Adventures in Demand Analysis Using AI.
CoRR
Philipp Bach, Victor Chernozhukov, Sven Klaassen, Martin Spindler, Jan Teichert-Kluge, Suhas Vijaykumar
2024 J jnl
DoubleMLDeep: Estimation of Causal Effects with Multimodal Data.
CoRR
Sven Klaassen, Jan Teichert-Kluge, Philipp Bach, Victor Chernozhukov, Martin Spindler, Suhas Vijaykumar
2023 J jnl
Hedonic Prices and Quality Adjusted Price Indices Powered by AI.
CoRR
Patrick Bajari, Zhihao Cen, Victor Chernozhukov, Manoj Manukonda, Suhas Vijaykumar, Jin Wang, Ramón Huerta, Junbo Li, Ling Leng, George Monokroussos, Shan Wan
2023 J jnl
Kernel Ridge Regression Inference.
CoRR
Rahul Singh, Suhas Vijaykumar
2023 A* conf
Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions.
NeurIPS
Abhineet Agarwal, Anish Agarwal, Suhas Vijaykumar
2023 J jnl
Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions.
CoRR
Abhineet Agarwal, Anish Agarwal, Suhas Vijaykumar
2022 J jnl
Classification as Direction Recovery: Improved Guarantees via Scale Invariance.
CoRR
Suhas Vijaykumar, Claire Lazar Reich
2022 J jnl
Frank Wolfe Meets Metric Entropy.
CoRR
Suhas Vijaykumar
2021 — conf
A Possibility in Algorithmic Fairness: Can Calibration and Equal Error Rates Be Reconciled?
FORC
Claire Lazar Reich, Suhas Vijaykumar
2021 A* conf
Localization, Convexity, and Star Aggregation.
NeurIPS
Suhas Vijaykumar
2021 J jnl
Localization, Convexity, and Star Aggregation.
CoRR
Suhas Vijaykumar
2021 J jnl
Stability and Efficiency of Random Serial Dictatorship.
CoRR
Suhas Vijaykumar
2020 J jnl
A Resolution in Algorithmic Fairness: Calibrated Scores for Fair Classifications.
CoRR
Claire Lazar, Suhas Vijaykumar
2016 J jnl
Higher Bruhat Orders in Type B.
Electron. J. Comb.
Seth Shelley-Abrahamson, Suhas Vijaykumar