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Fast Adversarial Robustness Certification of Nearest Prototype Classifiers for Arbitrary Seminorms
SaschaSaralajew, LarsHoldijk, ThomasVillmann....
Published date-12/01/2020
Quantization
Methods for adversarial robustness certification aim to provide an upper bound on the test error of a classifier under adversarial manipulation of its input. Current certification methods are computationally expensive …
Bidirectional Convolutional Poisson Gamma Dynamical Systems
WenchaoChen, ChaojieWang, BoChen....
Published date-12/01/2020
BayesianInference, VariationalInference
Incorporating the natural document-sentence-word structure into hierarchical Bayesian modeling, we propose convolutional Poisson gamma dynamical systems (PGDS) that introduce not only word-level probabilistic convolutions, but also sentence-level stochastic temporal transitions. …
Neutralizing Self-Selection Bias in Sampling for Sortition
BaileyFlanigan, PaulGoelz, AnupamGupta....
Published date-12/01/2020
fairness
Sortition is a political system in which decisions are made by panels of randomly selected citizens. The process for selecting a sortition panel is traditionally thought of as uniform sampling …
Optimal visual search based on a model of target detectability in natural images
ShimaRashidi, KristaEhinger, AndrewTurpin....
Published date-12/01/2020
EyeTracking, Foveation
To analyse visual systems, the concept of an ideal observer promises an optimal response for a given task. Bayesian ideal observers can provide optimal responses under uncertainty, if they are …
New Algorithms And Fast Implementations To Approximate Stochastic Processes
KipngenoBenardKirui, GeorgCh.Pflug, AloisPichler....
Published date-12/01/2020
We present new algorithms and fast implementations to find efficient approximations for modelling stochastic processes. For many numerical computations it is essential to develop finite approximations for stochastic processes. While …
Inferring learning rules from animal decision-making
ZoeAshwood, NicholasA.Roy, JiHyunBak....
Published date-12/01/2020
DecisionMaking
How do animals learn? This remains an elusive question in neuroscience. Whereas reinforcement learning often focuses on the design of algorithms that enable artificial agents to efficiently learn new tasks, …