Bayesian Model
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Bayesian Inference for Optimal Transport with Stochastic Cost
Anton Mallasto (Aalto University)*; Markus Heinonen (Aalto University ); Samuel Kaski (Aalto University and University of Manchester) -
Bayesian nonparametric model for arbitrary cubic partitioning
Masahiro Nakano (NTT communication science laboratories)*; Yasuhiro Fujiwara (NTT Communication Science Laboratories); Akisato Kimura (NTT Communication Science Laboratories); Takeshi Yamada (NTT Communication Science Laboratories); Naonori Ueda (NTT Communication Science Labs.) -
Improving Gaussian mixture latent variable model convergence with Optimal Transport
Benoit Gaujac (UCL)*; Ilya Feige (Faculty); David Barber (UCL) -
On the Convex Combination of Determinantal Point Processes
Tatsuya Matsuoka (NEC Corporation)*; Naoto Ohsaka (NEC Corporation); Akihiro Yabe (Fanfare Inc.) -
Scalable gradient matching based on state space Gaussian Processes
Futoshi Futami (NTT)* -
Augmenting Imbalanced Time-series Data via Adversarial Perturbation in Latent Space
Beomsoo Kim (Korea Advanced Institute of Science and Technology)*; Jaegul Choo (Korea Advanced Institute of Science and Technology); Jang-Ho Choi (Electronics and Telecommunications Research Institute)