activity
20162026
most citedFairness for Robust Log Loss Classification

42 citations · 45 across the 6 of their papers we have counts for

collaborators

8 papers

cs.AI2026

Belief-Guided Decision Making with Uncertainty Gating in the Game of Go

Mehrad Yaghoubi, Azam Bastanfard, Abbas Jalilvand +1

Recent advancements in Computer Go, driven by AlphaZero and MuZero, rely heavily on Monte Carlo Tree Search (MCTS) to correct the errors of the neural network policy. While effecti…

cs.GR2026

Data-Driven Animation Controller: A Prioritized Visual System for Decoupled Animation Logic in Godot Game Engine

Abtin TorabNezhad, Azam Bastanfard, Ashkan Rezaei

This paper introduces the Data-Driven Animation Controller (DDAC), a specialized Godot component that achieves robust decoupling of animation logic from core gameplay scripts throu…

cs.LG2021

Fairness for Robust Learning to Rank

Omid Memarrast, Ashkan Rezaei, Rizal Fathony +1

While conventional ranking systems focus solely on maximizing the utility of the ranked items to users, fairness-aware ranking systems additionally try to balance the exposure for…

cs.LG2020

Robust Fairness under Covariate Shift

Ashkan Rezaei, Anqi Liu, Omid Memarrast +1

Making predictions that are fair with regard to protected group membership (race, gender, age, etc.) has become an important requirement for classification algorithms. Existing tec…

cs.LG2019★ 42 cited

Fairness for Robust Log Loss Classification

Ashkan Rezaei, Rizal Fathony, Omid Memarrast +1

Developing classification methods with high accuracy that also avoid unfair treatment of different groups has become increasingly important for data-driven decision making in socia…

stat.ML2018

Distributionally Robust Graphical Models

Rizal Fathony, Ashkan Rezaei, Mohammad Ali Bashiri +2

In many structured prediction problems, complex relationships between variables are compactly defined using graphical structures. The most prevalent graphical prediction methods---…