Adventures in Computation

Calibration for Decision Making: A Principled Approach to Trustworthy ML

Batch Multivalid Conformal Prediction

Practical, Robust, and Equitable Uncertainty Estimation

FORC 2021 Call for Papers

How to Estimate the Uncertainty of Predictions

No Regret Algorithms from the Min Max Theorem

Moment Multicalibration for Uncertainty Estimation

TCS Visioning Workshop — Call for Participation

FORC 2020 Program

FORC 2020 Accepted Papers

Fair Prediction with Endogenous Behavior

FORC: A new conference you should know about.

A New Analysis of "Adaptive Data Analysis"

Individual Notions of Fairness You Can Use

The Ethical Algorithm

Impossibility Results in Fairness as Bayesian Inference

Algorithmic Unfairness Without Any Bias Baked In

2019 SIGecom Dissertation Award: Call for Nominations

Call for nominations for the SIGecom Dissertation Award

How (un)likely is an "intelligence explosion"?

Fairness and The Problem with Exploration: A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem

Adaptive Data Analysis Class Notes

Between "statistical" and "individual" notions of fairness in Machine Learning

Call for Nominations for the SIGecom Doctoral Dissertation Award

Submit your papers to WWW 2018