Papers
Backpropagating Linearly Improves Transferability of Adversarial Examples
Yiwen Guo, Qizhang Li, Hao Chen
Fast and Flexible Temporal Point Processes with Triangular Maps
Oleksandr Shchur, Nicholas Gao, Marin Biloš et al.
Neural Methods for Point-wise Dependency Estimation
Yao-Hung Hubert Tsai, Han Zhao, Makoto Yamada et al.
Off-Policy Evaluation and Learning for External Validity under a Covariate Shift
Masatoshi Uehara, Masahiro Kato, Shota Yasui
Benchmarking Deep Inverse Models over time, and the Neural-Adjoint method
Simiao Ren, Willie Padilla, Jordan Malof
Self-Supervised MultiModal Versatile Networks
Jean-Baptiste Alayrac, Adria Recasens, Rosalia Schneider et al.
An Unsupervised Information-Theoretic Perceptual Quality Metric
Sangnie Bhardwaj, Ian Fischer, Johannes Ballé et al.
A graph similarity for deep learning
Seongmin Ok
Exclusivity Graph Approach to Instrumental Inequalities
Davide Poderini, Rafael Chaves, Iris Agresti et al.
Block Neural Autoregressive Flow
Nicola De Cao, Wilker Aziz, Ivan Titov
Fast Proximal Gradient Descent for A Class of Non-convex and Non-smooth Sparse Learning Problems
Yingzhen Yang, Jiahui Yu
Embarrassingly Parallel MCMC using Deep Invertible Transformations
Diego Mesquita, Paul Blomstedt, Samuel Kaski
On Open-Universe Causal Reasoning
Duligur Ibeling, Thomas Icard
Bayesian Optimization with Binary Auxiliary Information
Yehong Zhang, Zhongxiang Dai, Bryan Kian Hsiang Low
Probability Distillation: A Caveat and Alternatives
Chin-Wei Huang, Faruk Ahmed, Kundan Kumar et al.
Variational Inference of Penalized Regression with Submodular Functions
Koh Takeuchi, Yuichi Yoshida, Yoshinobu Kawahara
Co-training for Policy Learning
Jialin Song, Ravi Lanka, Yisong Yue et al.
Off-Policy Policy Gradient with Stationary Distribution Correction
Yao Liu, Adith Swaminathan, Alekh Agarwal et al.
Subspace Inference for Bayesian Deep Learning
Pavel Izmailov, Wesley J. Maddox, Polina Kirichenko et al.
A Weighted Mini-Bucket Bound for Solving Influence Diagram
Junkyu Lee, Radu Marinescu, Alexander Ihler et al.
Identification In Missing Data Models Represented By Directed Acyclic Graphs
Rohit Bhattacharya, Razieh Nabi, Ilya Shpitser et al.
Markov Logic Networks for Knowledge Base Completion: A Theoretical Analysis Under the MCAR Assumption
Ondřej Kuželka, Jesse Davis
Low Frequency Adversarial Perturbation
Chuan Guo, Jared S. Frank, Kilian Q. Weinberger
Interpretable Almost Matching Exactly With Instrumental Variables
M. Usaid Awan, Yameng Liu, Marco Morucci et al.
On the Relationship Between Satisfiability and Markov Decision Processes
Ricardo Salmon, Pascal Poupart