31 citations
- Simon Fraser UniversityCA4 papers
- University of British ColumbiaCA3 papers
- Google (United States)US2 papers
- Brown UniversityUS1 paper
- Centrum Wiskunde & InformaticaNL1 paper
- Imperial College LondonGB1 paper
- Institute for Cognitive Science StudiesIR1 paper
- McGill UniversityCA1 paper
- North Carolina State UniversityUS1 paper
- University of TorontoCA1 paper
- University of WaterlooCA1 paper
- Vector InstituteCA1 paper
5 papers · 1 filter
CDT: Cascading Decision Trees for Explainable Reinforcement Learning
Zihan Ding, Pablo Hernandez-Leal, Gavin Weiguang Ding +2
Deep Reinforcement Learning (DRL) has recently achieved significant advances in various domains. However, explaining the policy of RL agents still remains an open problem due to se…
PermuteAttack: Counterfactual Explanation of Machine Learning Credit Scorecards
Masoud Hashemi, Ali Fathi
This paper is a note on new directions and methodologies for validation and explanation of Machine Learning (ML) models employed for retail credit scoring in finance. Our proposed…
Evaluating Lossy Compression Rates of Deep Generative Models
Sicong Huang, Alireza Makhzani, Yanshuai Cao +1
The field of deep generative modeling has succeeded in producing astonishingly realistic-seeming images and audio, but quantitative evaluation remains a challenge. Log-likelihood i…
Unsupervised Video Decomposition using Spatio-temporal Iterative Inference
Polina Zablotskaia, Edoardo A. Dominici, Leonid Sigal +1
Unsupervised multi-object scene decomposition is a fast-emerging problem in representation learning. Despite significant progress in static scenes, such models are unable to levera…
Variational Hyper RNN for Sequence Modeling
Ruizhi Deng, Yanshuai Cao, Bo Chang +3
In this work, we propose a novel probabilistic sequence model that excels at capturing high variability in time series data, both across sequences and within an individual sequence…