7 citations · 16 across the 8 of their papers we have counts for
10 papers
The Burden of Interactive Alignment with Inconsistent Preferences
Ali Shirali
From media platforms to chatbots, algorithms shape how people interact, learn, and discover information. Such interactions between users and an algorithm often unfold over multiple…
The Hidden Cost of Waiting for Accurate Predictions
Ali Shirali, Ariel Procaccia, Rediet Abebe
Algorithmic predictions are increasingly informing societal resource allocations by identifying individuals for targeting. Policymakers often build these systems with the assumptio…
Direct Alignment with Heterogeneous Preferences
Ali Shirali, Arash Nasr-Esfahany, Abdullah Alomar +3
Alignment with human preferences is commonly framed using a universal reward function, even though human preferences are inherently heterogeneous. We formalize this heterogeneity b…
Allocation Requires Prediction Only if Inequality Is Low
Ali Shirali, Rediet Abebe, Moritz Hardt
Algorithmic predictions are emerging as a promising solution concept for efficiently allocating societal resources. Fueling their use is an underlying assumption that such systems…
Collective Counterfactual Explanations: Balancing Individual Goals and Collective Dynamics
Ahmad-Reza Ehyaei, Ali Shirali, Samira Samadi
Counterfactual explanations provide individuals with cost-optimal recommendations to achieve their desired outcomes. However, when a significant number of individuals seek similar…
What Makes ImageNet Look Unlike LAION
Ali Shirali, Moritz Hardt
ImageNet was famously created from Flickr image search results. What if we recreated ImageNet instead by searching the massive LAION dataset based on image captions alone? In this…
Pruning the Way to Reliable Policies: A Multi-Objective Deep Q-Learning Approach to Critical Care
Ali Shirali, Alexander Schubert, Ahmed Alaa
Medical treatments often involve a sequence of decisions, each informed by previous outcomes. This process closely aligns with reinforcement learning (RL), a framework for optimizi…
A Theory of Dynamic Benchmarks
Ali Shirali, Rediet Abebe, Moritz Hardt
Dynamic benchmarks interweave model fitting and data collection in an attempt to mitigate the limitations of static benchmarks. In contrast to an extensive theoretical and empirica…
Sequential Nature of Recommender Systems Disrupts the Evaluation Process
Ali Shirali
Datasets are often generated in a sequential manner, where the previous samples and intermediate decisions or interventions affect subsequent samples. This is especially prominent…
On the Effect of Triadic Closure on Network Segregation
Rediet Abebe, Nicole Immorlica, Jon Kleinberg +2
The tendency for individuals to form social ties with others who are similar to themselves, known as homophily, is one of the most robust sociological principles. Since this phenom…