Dominic B. Dayta

According to our database, Dominic B. Dayta authored at least 7 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

A Bayesian Monte Carlo Variational Inference Estimation Procedure for Dynamic Factor Models on Stock Price Returns.

Benedict Ryan Tiu, Dominic B. Dayta, Hans Jarett J. Ong, Brian Godwin Lim, Kazushi Ikeda

IEEE Access, 2026

2025

Towards Unsupervised Causal Representation Learning via Latent Additive Noise Model Causal Autoencoders.

Hans Jarett J. Ong, Brian Godwin S. Lim, Dominic B. Dayta, Renzo Roel P. Tan, Kazushi Ikeda

CoRR, December, 2025

Dynamic Factor Analysis of Price Movements in the Philippine Stock Exchange.

Brian Godwin Lim, Dominic B. Dayta, Benedict Ryan Tiu, Renzo Roel Tan, Len Patrick Dominic Garces, Kazushi Ikeda

CoRR, October, 2025

Variance control for black box variational inference using the James-Stein estimator.

Dominic B. Dayta, Takatomi Kubo, Kazushi Ikeda

Artif. Life Robotics, August, 2025

2024

You Only Accept Samples Once: Fast, Self-Correcting Stochastic Variational Inference.

Dominic B. Dayta

CoRR, 2024

Variance Control for Black Box Variational Inference Using The James-Stein Estimator.

Dominic B. Dayta

CoRR, 2024

2021

Semiparametric Latent Topic Modeling on Consumer-Generated Corpora.

Dominic B. Dayta, Erniel B. Barrios

CoRR, 2021