1 citations · 1 across the 7 of their papers we have counts for
10 papers
Multigroup Fairness and Omniprediction: Separations and Equivalences
Sílvia Casacuberta, Parikshit Gopalan, Varun Kanade +3
Omniprediction is a learning guarantee which requires a single predictor to be competitive relative to the best hypothesis from a benchmark class for any loss chosen from a family…
Good Allocations from Bad Estimates
Sílvia Casacuberta, Moritz Hardt
Conditional average treatment effect (CATE) estimation is the de facto gold standard for targeting a treatment to a heterogeneous population. The method estimates treatment effects…
How Global Calibration Strengthens Multiaccuracy
Sílvia Casacuberta, Parikshit Gopalan, Varun Kanade +1
Multiaccuracy and multicalibration are multigroup fairness notions for prediction that have found numerous applications in learning and computational complexity. They can be achiev…
From Independence of Clones to Composition Consistency: A Hierarchy of Barriers to Strategic Nomination
Ratip Emin Berker, Sílvia Casacuberta, Isaac Robinson +3
We study two axioms for social choice functions that capture the impact of similar candidates: independence of clones (IoC) and composition consistency (CC). We clarify the relatio…
Obvious Independence of Clones
Ratip Emin Berker, Sílvia Casacuberta, Christopher Ong +1
The Independence of Clones (IoC) criterion measures a voting rule's robustness to strategic nomination. Prior literature has established empirically that individuals may still subm…
Widespread Underestimation of Sensitivity in Differentially Private Libraries and How to Fix It
Sílvia Casacuberta, Michael Shoemate, Salil Vadhan +1
We identify a new class of vulnerabilities in implementations of differential privacy. Specifically, they arise when computing basic statistics such as sums, thanks to discrepancie…
Quantum and Classical Algorithms for Bounded Distance Decoding
Richard Allen, Ratip Emin Berker, Sílvia Casacuberta +1
In this paper, we provide a comprehensive overview of a recent debate over the quantum versus classical solvability of bounded distance decoding (BDD). Specifically, we review the…
Evaluating Word Embeddings with Categorical Modularity
Sílvia Casacuberta, Karina Halevy, Damián E. Blasi
We introduce categorical modularity, a novel low-resource intrinsic metric to evaluate word embedding quality. Categorical modularity is a graph modularity metric based on the -…
Faster Sparse Matrix Inversion and Rank Computation in Finite Fields
Sílvia Casacuberta, Rasmus Kyng
We improve the current best running time value to invert sparse matrices over finite fields, lowering it to an expected time for the current values of fast…
Irrationality of the sum of a -adic series
Sílvia Casacuberta
We prove that the sum of the series is a -adic irrational for all primes , where denotes the exponent of the highest power of $p…