58 citations · 276 across the 26 of their papers we have counts for
4 papers · 1 filter
Map-Predictive Motion Planning in Unknown Environments
Amine Elhafsi, Boris Ivanovic, Lucas Janson +1
Algorithms for motion planning in unknown environments are generally limited in their ability to reason about the structure of the unobserved environment. As such, current methods…
Revisiting the Asymptotic Optimality of RRT
Kiril Solovey, Lucas Janson, Edward Schmerling +2
RRT* is one of the most widely used sampling-based algorithms for asymptotically-optimal motion planning. This algorithm laid the foundations for optimality in motion planning as a…
Relaxing the Assumptions of Knockoffs by Conditioning
Dongming Huang, Lucas Janson
The recent paper Candès et al. (2018) introduced model-X knockoffs, a method for variable selection that provably and non-asymptotically controls the false discovery rate with no r…
Metropolized Knockoff Sampling
Stephen Bates, Emmanuel Candès, Lucas Janson +1
Model-X knockoffs is a wrapper that transforms essentially any feature importance measure into a variable selection algorithm, which discovers true effects while rigorously control…