Concentration of Measure, Random Projections, Orlicz spaces
2022 – Present
Graph Neural Networks, Graph Kernels, Label Propagation
2022 – Present
Deep Learning for Time Series, , Convolutional Neural Networks, Recurrent Neural Networks, Tensor Networks, Transformers, Self-Attention
2020 – Present
Kernel methods, Kernels for Time Series and Sequences
2019 – Present
Scalable Kernel Methods, Random Fourier Features, Low-Rank Kernel Approximations
2019 – Present
Gaussian processes, Variational Methods, Sparse Variational Inference, Variational Auto-Encoders
2018 – Present