67 citations · 93 across the 19 of their papers we have counts for
4 papers · 1 filter
The convergent Indian buffet process
Ilsang Ohn
We propose a new Bayesian nonparametric prior for latent feature models, which we call the convergent Indian buffet process (CIBP). We show that under the CIBP, the number of laten…
Masked Bayesian Neural Networks : Computation and Optimality
Insung Kong, Dongyoon Yang, Jongjin Lee +2
As data size and computing power increase, the architectures of deep neural networks (DNNs) have been getting more complex and huge, and thus there is a growing need to simplify su…
SLIDE: a surrogate fairness constraint to ensure fairness consistency
Kunwoong Kim, Ilsang Ohn, Sara Kim +1
As they have a vital effect on social decision makings, AI algorithms should be not only accurate and but also fair. Among various algorithms for fairness AI, learning a prediction…
Learning fair representation with a parametric integral probability metric
Dongha Kim, Kunwoong Kim, Insung Kong +2
As they have a vital effect on social decision-making, AI algorithms should be not only accurate but also fair. Among various algorithms for fairness AI, learning fair representati…