Suhas Vijaykumar

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 13

Top Topics

Causal Inference

Accurate Localization

Convexity Measure

Top Venues

Electron. J. Comb.

Publications

Sven Klaassen, Jan Teichert-Kluge, Philipp Bach, Victor Chernozhukov, Martin Spindler, Suhas Vijaykumar
DoubleMLDeep: Estimation of Causal Effects with Multimodal Data. CoRR (2024)
Abhineet Agarwal, Anish Agarwal, Suhas Vijaykumar
Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions. CoRR (2023)
Patrick Bajari, Zhihao Cen, Victor Chernozhukov, Manoj Manukonda, Suhas Vijaykumar, Jin Wang, Ramón Huerta, Junbo Li, Ling Leng, George Monokroussos, Shan Wan
Hedonic Prices and Quality Adjusted Price Indices Powered by AI. CoRR (2023)
Abhineet Agarwal, Anish Agarwal, Suhas Vijaykumar
Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions. NeurIPS (2023)
Rahul Singh, Suhas Vijaykumar
Kernel Ridge Regression Inference. CoRR (2023)
Suhas Vijaykumar, Claire Lazar Reich
Classification as Direction Recovery: Improved Guarantees via Scale Invariance. CoRR (2022)
Suhas Vijaykumar
Frank Wolfe Meets Metric Entropy. CoRR (2022)
Suhas Vijaykumar
Stability and Efficiency of Random Serial Dictatorship. CoRR (2021)
Suhas Vijaykumar
Localization, Convexity, and Star Aggregation. NeurIPS (2021)
Suhas Vijaykumar
Localization, Convexity, and Star Aggregation. CoRR (2021)
Claire Lazar Reich, Suhas Vijaykumar
A Possibility in Algorithmic Fairness: Can Calibration and Equal Error Rates Be Reconciled? FORC (2021)
Claire Lazar, Suhas Vijaykumar
A Resolution in Algorithmic Fairness: Calibrated Scores for Fair Classifications. CoRR (2020)
Seth Shelley-Abrahamson, Suhas Vijaykumar
Higher Bruhat Orders in Type B. Electron. J. Comb. 23 (3) (2016)