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Correlation Clustering with Adaptive Similarity Queries
Marco Bressan, Nicolò Cesa-Bianchi, Andrea Paudice, Fabio Vitale
Neural Information Processing Systems http://nips.cc/
Psychologists made people look at spiders. They didn't like it.
Environment Animals Wildlife Spiders Psychologists made people look at spiders. Humans will try to focus on almost anything else. Breakthroughs, discoveries, and DIY tips sent six days a week. There are plenty of studies examining why humans are so hardwired to detest spiders . However, fewer researchers have spent time investigating just far we'll go to avoid even looking at them.At the University of Nebraska-Lincoln, psychologists decided to find out for themselves.
Stochastic Composite Mirror Descent: Optimal Bounds with High Probabilities
We apply the derived computational error bounds to study the generalization performance ofmulti-pass stochastic gradient descent (SGD) ina non-parametric setting.
Counterfactual Fairness by Combining Factual and Counterfactual Predictions
Counterfactual Fairness (CF), which posits that an ML model's outcome on any individual should remain unchanged if they had belonged to a different demographic
A Neural Compositional Paradigm for Image Captioning
Bo Dai, Sanja Fidler, Dahua Lin
Neural Information Processing Systems http://nips.cc/
Fixing Implicit Derivatives: Trust-Region Based Learning of Continuous Energy Functions
Chris Russell, Matteo Toso, Neill Campbell
Neural Information Processing Systems http://nips.cc/
From Pixels to UI Actions: Learning to Follow Instructions via Graphical User Interfaces Peter Shaw
Much of the previous work towards digital agents for graphical user interfaces (GUIs) has relied on text-based representations (derived from HTML or other structured data sources), which are not always readily available.
Two Generator Game: Learning to Sample via Linear Goodness-of-Fit Test
Lizhong Ding, Mengyang Yu, Li Liu, Fan Zhu, Yong Liu, Yu Li, Ling Shao
Learning the probability distribution of high-dimensional data is a challenging problem.
Multi-armed Bandits with Compensation
Neural Information Processing Systems http://nips.cc/
