Europe
On the Expressive Power of Deep Polynomial Neural Networks
Joe Kileel, Matthew Trager, Joan Bruna
Neural Information Processing Systems http://nips.cc/
Sparse PCA from Sparse Linear Regression
Guy Bresler, Sung Min Park, Madalina Persu
SLR, but an explicit connection between the two had not been made.
Regret Minimization for Reinforcement Learning with Vectorial Feedback and Complex Objectives
Neural Information Processing Systems http://nips.cc/
Transfer of Deep Reactive Policies for MDP Planning
Aniket (Nick) Bajpai, Sankalp Garg, None
Neural Information Processing Systems http://nips.cc/
We propose a post hoc saliency-based explanation framework for counterfactual reasoning in probabilistic multivariate time-series forecasting (regression) settings
Building upon Miller's framework of explanations derived from research in multiple
Boosting Black Box Variational Inference
Francesco Locatello, Gideon Dresdner, Rajiv Khanna, Isabel Valera, Gunnar Raetsch
Convex Optimizationwithout Projection Steps.arXivmath.OC, August 2011.
Neural Interaction Transparency (NIT): Disentangling Learned Interactions for Improved Interpretability
Michael Tsang, Hanpeng Liu, Sanjay Purushotham, Pavankumar Murali, Yan Liu
Please note that an "interaction" in this paper is a statistical interaction that describes a non-additive