Papers
938 papers found
Generating and Sampling Orbits for Lifted Probabilistic Inference
Steven Holtzen, Todd Millstein, Guy Van den Broeck
Guaranteed Scalable Learning of Latent Tree Models
Furong Huang, Niranjan Uma Naresh, Ioakeim Perros et al.
How to Exploit Structure while Solving Weighted Model Integration Problems
Samuel Kolb, Pedro Zuidberg Dos Martires, Luc De Raedt
Identification In Missing Data Models Represented By Directed Acyclic Graphs
Rohit Bhattacharya, Razieh Nabi, Ilya Shpitser et al.
Interpretable Almost Matching Exactly With Instrumental Variables
M. Usaid Awan, Yameng Liu, Marco Morucci et al.
Intervening on Network Ties
Eli Sherman, Ilya Shpitser
Joint Nonparametric Precision Matrix Estimation with Confounding
Sinong Geng, Mladen Kolar, Oluwasanmi Koyejo
Learnability for the Information Bottleneck
Tailin Wu, Ian Fischer, Isaac L. Chuang et al.
Learning Belief Representations for Imitation Learning in POMDPs
Tanmay Gangwani, Joel Lehman, Qiang Liu et al.
Learning Factored Markov Decision Processes with Unawareness
Craig Innes, Alex Lascarides
Learning with Non-Convex Truncated Losses by SGD
Yi Xu, Shenghuo Zhu, Sen Yang et al.
Literal or Pedagogic Human? Analyzing Human Model Misspecification in Objective Learning
Smitha Milli, Anca D. Dragan
Low Frequency Adversarial Perturbation
Chuan Guo, Jared S. Frank, Kilian Q. Weinberger
Markov Logic Networks for Knowledge Base Completion: A Theoretical Analysis Under the MCAR Assumption
Ondřej Kuželka, Jesse Davis
Multi-Class Gaussian Process Classification Made Conjugate: Efficient Inference via Data Augmentation
Théo Galy-Fajou, Florian Wenzel, Christian Donner et al.
N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification
Sami Abu-El-Haija, Amol Kapoor, Bryan Perozzi et al.
Noise Contrastive Priors for Functional Uncertainty
Danijar Hafner, Dustin Tran, Timothy Lillicrap et al.
Object Conditioning for Causal Inference
David Jensen, Javier Burroni, Matthew Rattigan
Off-Policy Policy Gradient with Stationary Distribution Correction
Yao Liu, Adith Swaminathan, Alekh Agarwal et al.
On Densification for Minwise Hashing
Tung Mai, Anup Rao, Matt Kapilevich et al.
One-Shot Marginal MAP Inference in Markov Random Fields
Hao Xiong, Yuanzhen Guo, Yibo Yang et al.
On Fast Convergence of Proximal Algorithms for SQRT-Lasso Optimization: Don’t Worry About its Nonsmooth Loss Function
Xinguo Li, Haoming Jiang, Jarvis Haupt et al.
On First-Order Bounds, Variance and Gap-Dependent Bounds for Adversarial Bandits
Roman Pogodin, Tor Lattimore
Online Factorization and Partition of Complex Networks by Random Walk
Lin Yang, Zheng Yu, Vladimir Braverman et al.