42 citations · 197 across the 45 of their papers we have counts for
4 papers · 1 filter
Fast Causal Orientation Learning in Directed Acyclic Graphs
Ramin Safaeian, Saber Salehkaleybar, Mahmoud Tabandeh
Causal relationships among a set of variables are commonly represented by a directed acyclic graph. The orientations of some edges in the causal DAG can be discovered from observat…
Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated Function
Saeed Masiha, Saber Salehkaleybar, Niao He +2
We study the performance of Stochastic Cubic Regularized Newton (SCRN) on a class of functions satisfying gradient dominance property with which holds in a wide range o…
A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models
Ehsan Mokhtarian, Saber Salehkaleybar, AmirEmad Ghassami +1
We study experiment design for unique identification of the causal graph of a simple SCM, where the graph may contain cycles. The presence of cycles in the structure introduces maj…
Momentum-Based Policy Gradient with Second-Order Information
Saber Salehkaleybar, Sadegh Khorasani, Negar Kiyavash +2
Variance-reduced gradient estimators for policy gradient methods have been one of the main focus of research in the reinforcement learning in recent years as they allow acceleratio…