ON ANNOTATION EFFICIENT LEARNING FOR COMPUTER VISION TASKS AND ITS APPLICATION ON MEDICAL IMAGE DATASETS

by ATIN GHOSH
Published 2022

AdaBoost semiparametric model averaging prediction for multiple categories

by Jialiang Li, Jing Lv, Alan T. K. WAN, Jun Liao
Published 2022

REFRAMING CARBON OFFSET COSTS TO INCREASE CONTRIBUTIONS

by LOW SI XUAN ANDREA
Published 2023

MANIFOLD FITTING AND GENERATIVE NEURAL NETWORKS

by SU JIAJI
Published 2023

CHALLENGES OF LEARNING UNDER DIFFERENT LEVELS OF SUPERVISION FOR IMAGES AND VIDEOS

by RAHUL RAHAMAN
Published 2023

REGULARIZED PROBABILISTIC TOPIC MODELING

by LEI HAO
Published 2021

Foreword to Special Issue on Causal Inference

by Jialiang Li
Published 2023

APPROXIMATE INFERENCE FOR COMPLEX MODELS

by YU XUEJUN
Published 2022

LIMITING LAWS FOR EXTREME EIGENVALUES OF GENERAL ELLIPTICAL LARGE DIMENSIONAL SAMPLE COVARIANCE MATRICES

by XIE JIAHUI
Published 2023

Mean and Covariance Estimation for Functional Snippets

by Zhenhua Lin, Jane-Ling Wang
Published 2022

POISSON APPROXIMATION FOR SUBGRAPH COUNTS IN A GRAPHEX MODEL

by LEE DE ZHANG
Published 2023

PRICING FOREIGN EXCHANGE OPTIONS IN ROUGH VOLATILITY MODELS

by MEUNIER MATTHIEU RAPHAEL
Published 2023

ON SUBGROUP IDENTIFICATION VIA CHANGE POINT DETECTION AND MODEL AVERAGE

by LIU PAN
Published 2024

Estimation in tensor Ising models

by Mukherjee, Somabha, Son, Jaesung, Bhattacharya, Bhaswar B
Published 2022

SEMIPARAMETRIC METHODS FOR NONIGNORABLE MISSING DATA AND CAUSAL MODELS

by DESHANEE SENEVIRATHNE WICKRAMARACHCHI
Published 2024

Multi-threshold Structural Equation Model

by Jialiang Li
Published 2023

LIKELIHOOD-BASED METHOD AND ITS APPLICATION

by CHEN YUCHENG
Published 2024

ENERGY EFFICIENT PATH PLANNING WITH REINFORCEMENT LEARNING

by JEROME ALEXANDRE ROCHE
Published 2023

MEDIATION ANALYSIS WITH MULTIPLE MEDIATORS UNDER UNMEASURED MEDIATOR-OUTCOME CONFOUNDING

by LAURA LIM HUEY MIEN
Published 2022

ROBUSTIFYING SEQUENTIAL NEURAL POSTERIOR ESTIMATION

by AMIT SHARMA
Published 2023