3 papers
cs.LG2025
Score Matching for Estimating Finite Point Processes
Haoqun Cao, Yixuan Zhang, Feng Zhou
Score matching estimators have garnered significant attention in recent years because they eliminate the need to compute normalizing constants, thereby mitigating the computational…
stat.ML2024
Is Score Matching Suitable for Estimating Point Processes?
Haoqun Cao, Zizhuo Meng, Tianjun Ke +1
Score matching estimators have gained widespread attention in recent years partly because they are free from calculating the integral of normalizing constant, thereby addressing th…
cs.LG2024
Accelerating Convergence in Bayesian Few-Shot Classification
Tianjun Ke, Haoqun Cao, Feng Zhou
Bayesian few-shot classification has been a focal point in the field of few-shot learning. This paper seamlessly integrates mirror descent-based variational inference into Gaussian…