5 citations · 9 across the 8 of their papers we have counts for
9 papers
Hedonic Prices and Quality Adjusted Price Indices Powered by AI
Patrick Bajari, Zhihao Cen, Victor Chernozhukov +8
We develop empirical models that efficiently process large amounts of unstructured product data (text, images, prices, quantities) to produce accurate hedonic price estimates and d…
Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions
Abhineet Agarwal, Anish Agarwal, Suhas Vijaykumar
Consider a setting where there are heterogeneous units and interventions. Our goal is to learn unit-specific potential outcomes for any combination of these interventio…
Kernel Ridge Regression Inference
Rahul Singh, Suhas Vijaykumar
We provide uniform confidence bands for kernel ridge regression (KRR), a widely used nonparametric regression estimator for nonstandard data such as preferences, sequences, and gra…
Frank Wolfe Meets Metric Entropy
Suhas Vijaykumar
The Frank-Wolfe algorithm has seen a resurgence in popularity due to its ability to efficiently solve constrained optimization problems in machine learning and high-dimensional sta…
Classification as Direction Recovery: Improved Guarantees via Scale Invariance
Suhas Vijaykumar, Claire Lazar Reich
Modern algorithms for binary classification rely on an intermediate regression problem for computational tractability. In this paper, we establish a geometric distinction between c…
Stability and Efficiency of Random Serial Dictatorship
Suhas Vijaykumar
This paper establishes non-asymptotic convergence of the cutoffs in Random serial dictatorship in an environment with many students, many schools, and arbitrary student preferences…
Localization, Convexity, and Star Aggregation
Suhas Vijaykumar
Offset Rademacher complexities have been shown to provide tight upper bounds for the square loss in a broad class of problems including improper statistical learning and online lea…
A Possibility in Algorithmic Fairness: Can Calibration and Equal Error Rates Be Reconciled?
Claire Lazar Reich, Suhas Vijaykumar
Decision makers increasingly rely on algorithmic risk scores to determine access to binary treatments including bail, loans, and medical interventions. In these settings, we reconc…
Higher Bruhat Orders in Type B
Seth Shelley-Abrahamson, Suhas Vijaykumar
Motivated by the geometry of certain hyperplane arrangements, Manin and Schechtman defined for each positive integer n a hierarchy of finite partially ordered sets B(n, k), indexed…