neural information processing system
An Architecture for Deep, Hierarchical Generative Models
Neural Information Processing Systems http://nips.cc/
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Sparse PCA from Sparse Linear Regression
Guy Bresler, Sung Min Park, Madalina Persu
Neural Information Processing Systems http://nips.cc/
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fdda6e957f1e5ee2f3b311fe4f145ae1-Paper.pdf
Our study of 22 mitigation techniques and five baselines reveals up to 12.6% fairness variance across identical training runs with identical seeds.
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Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion
Jacob Buckman, Danijar Hafner, George Tucker, Eugene Brevdo, Honglak Lee
We propose stochastic ensemble value expansion (STEVE), a novel model-based technique that addresses this issue. By dynamically interpolating between model rollouts of various horizon lengths for each individual example, STEVE ensures that the model is only utilized when doing so does not introduce significant errors.
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Unsupervised Image-to-Image Translation Using Domain-Specific Variational Information Bound
Hadi Kazemi, Sobhan Soleymani, Fariborz Taherkhani, Seyed Iranmanesh, Nasser Nasrabadi
Neural Information Processing Systems http://nips.cc/
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Representation Balancing MDPs for Off-policy Policy Evaluation
Yao Liu, Omer Gottesman, Aniruddh Raghu, Matthieu Komorowski, Aldo A. Faisal, Finale Doshi-Velez, Emma Brunskill
See Corollary 2 in Appendixfordetail.
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A Bayesian Approach to Generative Adversarial Imitation Learning
Wonseok Jeon, Seokin Seo, Kee-Eung Kim
Neural Information Processing Systems http://nips.cc/
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- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (0.94)
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