Search Results for author: Konstantina Palla

Found 10 papers, 2 papers with code

Epistemic Uncertainty and Observation Noise with the Neural Tangent Kernel

no code implementations6 Sep 2024 Sergio Calvo-Ordoñez, Konstantina Palla, Kamil Ciosek

Recent work has shown that training wide neural networks with gradient descent is formally equivalent to computing the mean of the posterior distribution in a Gaussian Process (GP) with the Neural Tangent Kernel (NTK) as the prior covariance and zero aleatoric noise \parencite{jacot2018neural}.

Enhancing Content Moderation with Culturally-Aware Models

no code implementations5 Dec 2023 Alex J. Chan, José Luis Redondo García, Fabrizio Silvestri, Colm O'Donnell, Konstantina Palla

Our findings reinforce the need for an adaptable content moderation approach that remains flexible in response to the diverse cultural landscapes it operates in and represents a step towards a more equitable and culturally sensitive framework for content moderation, demonstrating what is achievable in this domain.

Decision Making Decoder +1

EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE

1 code implementation ICLR 2019 Chao Ma, Sebastian Tschiatschek, Konstantina Palla, José Miguel Hernández-Lobato, Sebastian Nowozin, Cheng Zhang

Many real-life decision-making situations allow further relevant information to be acquired at a specific cost, for example, in assessing the health status of a patient we may decide to take additional measurements such as diagnostic tests or imaging scans before making a final assessment.

Decision Making Experimental Design +1

A Birth-Death Process for Feature Allocation

no code implementations ICML 2017 Konstantina Palla, David Knowles, Zoubin Ghahramani

We propose a Bayesian nonparametric prior over feature allocations for sequential data, the birth-death feature allocation process (BDFP).

Bayesian Nonparametrics for Sparse Dynamic Networks

no code implementations6 Jul 2016 Cian Naik, Francois Caron, Judith Rousseau, Yee Whye Teh, Konstantina Palla

In this paper we propose a Bayesian nonparametric approach to modelling sparse time-varying networks.

A nonparametric variable clustering model

no code implementations NeurIPS 2012 Konstantina Palla, Zoubin Ghahramani, David A. Knowles

Factor analysis models effectively summarise the covariance structure of high dimensional data, but the solutions are typically hard to interpret.

Clustering model

SiGMa: Simple Greedy Matching for Aligning Large Knowledge Bases

1 code implementation19 Jul 2012 Simon Lacoste-Julien, Konstantina Palla, Alex Davies, Gjergji Kasneci, Thore Graepel, Zoubin Ghahramani

The Internet has enabled the creation of a growing number of large-scale knowledge bases in a variety of domains containing complementary information.

Cannot find the paper you are looking for? You can Submit a new open access paper.