23 citations · 69 across the 6 of their papers we have counts for
6 papers
Universality of empirical risk minimization
Andrea Montanari, Basil Saeed
We study a general class of optimization problems with decision variable and cost function which is the sum of terms, each dependent…
Causal Structure Discovery from Distributions Arising from Mixtures of DAGs
Basil Saeed, Snigdha Panigrahi, Caroline Uhler
We consider distributions arising from a mixture of causal models, where each model is represented by a directed acyclic graph (DAG). We provide a graphical representation of such…
Ordering-Based Causal Structure Learning in the Presence of Latent Variables
Daniel Irving Bernstein, Basil Saeed, Chandler Squires +1
We consider the task of learning a causal graph in the presence of latent confounders given i.i.d.~samples from the model. While current algorithms for causal structure discovery i…
Anchored Causal Inference in the Presence of Measurement Error
Basil Saeed, Anastasiya Belyaeva, Yuhao Wang +1
We consider the problem of learning a causal graph in the presence of measurement error. This setting is for example common in genomics, where gene expression is corrupted through…
Explaining intuitive difficulty judgments by modeling physical effort and risk
Ilker Yildirim, Basil Saeed, Grace Bennett-Pierre +3
The ability to estimate task difficulty is critical for many real-world decisions such as setting appropriate goals for ourselves or appreciating others' accomplishments. Here we g…
Physical problem solving: Joint planning with symbolic, geometric, and dynamic constraints
Ilker Yildirim, Tobias Gerstenberg, Basil Saeed +2
In this paper, we present a new task that investigates how people interact with and make judgments about towers of blocks. In Experiment~1, participants in the lab solved a series…