activity
20212025
most citedClass-Conditional Conformal Prediction with Many Classes

12 citations · 13 across the 4 of their papers we have counts for

collaborators

5 papers

stat.ML2025

Calibrated Multi-Level Quantile Forecasting

Tiffany Ding, Isaac Gibbs, Ryan J. Tibshirani

We develop an online method that guarantees calibration of quantile forecasts at multiple quantile levels simultaneously. In this work, a sequence of quantile forecasts is said to…

econ.TH2025

Marketplace Operators Can Induce Competitive Pricing

Tiffany Ding, Dominique Perrault-Joncas, Orit Ronen +4

As e-commerce marketplaces continue to grow in popularity, it has become increasingly important to understand the role and impact of marketplace operators on competition and social…

cs.GT2024

Privacy Can Arise Endogenously in an Economic System with Learning Agents

Nivasini Ananthakrishnan, Tiffany Ding, Mariel Werner +2

We study price-discrimination games between buyers and a seller where privacy arises endogenously--that is, utility maximization yields equilibrium strategies where privacy occurs…

stat.ML2023★ 12 cited

Class-Conditional Conformal Prediction with Many Classes

Tiffany Ding, Anastasios N. Angelopoulos, Stephen Bates +2

Standard conformal prediction methods provide a marginal coverage guarantee, which means that for a random test point, the conformal prediction set contains the true label with a u…

cs.LG2021★ 1 cited

Learning from Multiple Noisy Partial Labelers

Peilin Yu, Tiffany Ding, Stephen H. Bach

Programmatic weak supervision creates models without hand-labeled training data by combining the outputs of heuristic labelers. Existing frameworks make the restrictive assumption…