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Sourbh Bhadane

4 accepted papers

2025

Revisiting the Berkeley Admissions data: Statistical Tests for Causal Hypotheses

UAI 2025

Reasoning about fairness through correlation-based notions is rife with pitfalls. The 1973 University of California, Berkeley graduate school admissions case from \citet{BickelHO75} is a classic example of one such pitfall, namely Simpson’s paradox. The discrepancy in admission rates among male and

2023

Sample Complexity of Distinguishing Cause from Effect

AISTATS 2023poster

We study the sample complexity of causal structure learning on a two-variable system with observational and experimental data. Specifically, for two variables $X$ and $Y$, we consider the classical scenario where either $X$ causes $Y$, $Y$ causes $X$, or there is an unmeasured confounder between $X$…

Cited by 4SourcePDFScholar
2021

Principal Bit Analysis: Autoencoding with Schur-Concave Loss

ICML 2021spotlight

We consider a linear autoencoder in which the latent variables are quantized, or corrupted by noise, and the constraint is Schur-concave in the set of latent variances. Although finding the optimal encoder/decoder pair for this setup is a nonconvex optimization problem, we show that decomposing the…

2019

Estimating Entropy of Distributions in Constant Space

NeurIPS 2019poster

We consider the task of estimating the entropy of $k$-ary distributions from samples in the streaming model, where space is limited. Our main contribution is an algorithm that requires $O\left(\frac{k \log (1/\varepsilon)^2}{\varepsilon^3}\right)$ samples and a constant $O(1)$ memory words of space…

Cited by 18SourcePDFScholar