Flexible Modeling of Diversity with Strongly Log-Concave Distributions

12 June 2019

Papers citing "Flexible Modeling of Diversity with Strongly Log-Concave Distributions"

10 / 10 papers shown

Title
Mixtures of All Trees Nikil Selvam Honghua Zhang Guy Van den Broeck TPM 15 2 0 27 Feb 2023
Diverse Probabilistic Trajectory Forecasting with Admissibility Constraints Laura Calem H. Ben-younes P. Pérez Nicolas Thome 38 3 0 07 Feb 2023
Computational Complexity of Normalizing Constants for the Product of Determinantal Point Processes Naoto Ohsaka Tatsuya Matsuoka 20 0 0 28 Nov 2021
Some Inapproximability Results of MAP Inference and Exponentiated Determinantal Point Processes Naoto Ohsaka 29 4 0 02 Sep 2021
Submodular + Concave Siddharth Mitra Moran Feldman Amin Karbasi 20 18 0 09 Jun 2021
Probabilistic Generating Circuits Honghua Zhang Brendan Juba Guy Van den Broeck TPM 21 27 0 19 Feb 2021
Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity Vincent Le Guen Nicolas Thome AI4TS 23 26 0 14 Oct 2020
Regularized Submodular Maximization at Scale Ehsan Kazemi Shervin Minaee Moran Feldman Amin Karbasi 21 36 0 10 Feb 2020
Strong Log-Concavity Does Not Imply Log-Submodularity Alkis Gotovos 6 2 0 25 Oct 2019
Determinantal point processes for machine learning Alex Kulesza B. Taskar 176 1,125 0 25 Jul 2012