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20202026
most citedA Design Framework for Strongly -Private Data Disclosure

32 citations · 35 across the 22 of their papers we have counts for

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cs.IT2025

An Information Geometric Approach to Fairness With Equalized Odds Constraint

Amirreza Zamani, Ayfer Özgür, Mikael Skoglund

We study the statistical design of a fair mechanism that attains equalized odds, where an agent uses some useful data (database) to solve a task . Since both and are…

cs.IT2025

On Information Theoretic Fairness With A Bounded Point-Wise Statistical Parity Constraint: An Information Geometric Approach

Amirreza Zamani, Ayfer Özgür, Mikael Skoglund

In this paper, we study an information-theoretic problem of designing a fair representation under a bounded point-wise statistical (demographic) parity constraint. More specificall…

cs.IT2025

Risk level dependent Minimax Quantile lower bounds for Interactive Statistical Decision Making

Raghav Bongole, Amirreza Zamani, Tobias J. Oechtering +1

Minimax risk and regret focus on expectation, missing rare failures critical in safety-critical bandits and reinforcement learning. Minimax quantiles capture these tails. Three str…

cs.IT2025

Information-Theoretic Fairness with A Bounded Statistical Parity Constraint

Amirreza Zamani, Abolfazl Changizi, Ragnar Thobaben +1

In this paper, we study an information-theoretic problem of designing a fair representation that attains bounded statistical (demographic) parity. More specifically, an agent uses…

cs.IT2025

An Information Geometric Approach to Local Information Privacy with Applications to Max-lift and Local Differential Privacy

Amirreza Zamani, Parastoo Sadeghi, Mikael Skoglund

We study an information-theoretic privacy mechanism design, where an agent observes useful data and wants to reveal the information to a user. Since the useful data is correlat…