17 citations · 25 across the 5 of their papers we have counts for
4 papers · 1 filter
Learning Confidence Bounds for Classification with Imbalanced Data
Matt Clifford, Jonathan Erskine, Alexander Hepburn +2
Class imbalance poses a significant challenge in classification tasks, where traditional approaches often lead to biased models and unreliable predictions. Undersampling and oversa…
Conditional t-SNE: Complementary t-SNE embeddings through factoring out prior information
Bo Kang, Darío García García, Jefrey Lijffijt +2
Dimensionality reduction and manifold learning methods such as t-Distributed Stochastic Neighbor Embedding (t-SNE) are routinely used to map high-dimensional data into a 2-dimensio…
Tighter Variational Representations of f-Divergences via Restriction to Probability Measures
Avraham Ruderman, Mark Reid, Dario Garcia-Garcia +1
We show that the variational representations for f-divergences currently used in the literature can be tightened. This has implications to a number of methods recently proposed bas…
State-Space Dynamics Distance for Clustering Sequential Data
Darío García-García, Emilio Parrado-Hernández, Fernando Díaz-de-María
This paper proposes a novel similarity measure for clustering sequential data. We first construct a common state-space by training a single probabilistic model with all the sequenc…