Kohn, Robert

7 publications

NeurIPS 2025 ProDAG: Projected Variational Inference for Directed Acyclic Graphs Ryan Thompson, Edwin V. Bonilla, Robert Kohn

AISTATS 2024 Contextual Directed Acyclic Graphs Ryan Thompson, Edwin V. Bonilla, Robert Kohn

NeurIPS 2023 The Contextual Lasso: Sparse Linear Models via Deep Neural Networks Ryan Thompson, Amir Dezfouli, Robert Kohn

ICML 2020 Spectral Subsampling MCMC for Stationary Time Series Robert Salomone, Matias Quiroz, Robert Kohn, Mattias Villani, Minh-Ngoc Tran

JMLR 2019 Hamiltonian Monte Carlo with Energy Conserving Subsampling Khue-Dung Dang, Matias Quiroz, Robert Kohn, Minh-Ngoc Tran, Mattias Villani

AISTATS 2019 Variance Reduction Properties of the Reparameterization Trick Ming Xu, Matias Quiroz, Robert Kohn, Scott A. Sisson

ICCV 1998 Representation and Self-Similarity of Shapes Tyng-Luh Liu, Davi Geiger, Robert Kohn