Lam Si Tung Ho

发表

Learning from Non-iid Data: Fast Rates for the One-vs-All Multiclass Plug-in Classifiers

Binh T. Nguyen, Vu C. Dinh, Lam Si Tung Ho, 2015, TAMC.

Recovery guarantees for polynomial approximation from dependent data with outliers pdf

Hayden Schaeffer, Giang Tran, Rachel Ward, 2018, ArXiv.

Generalization and Robustness of Batched Weighted Average Algorithm with V-Geometrically Ergodic Markov Data

Vu C. Dinh, Lam Si Tung Ho, Viet Cuong Nguyen, 2013, ALT.

Efficient Bayesian inference of general Gaussian models on large phylogenetic trees

Philippe Lemey, Guy Baele, Marc A Suchard, 2020, The Annals of Applied Statistics.

Bayesian Pool-based Active Learning with Abstention Feedbacks pdf

Binh Nguyen, Vu C. Dinh, Huan Xu, 2017, ArXiv.

Posterior concentration and fast convergence rates for generalized Bayesian learning

Binh T. Nguyen, Vu C. Dinh, Binh T. Nguyen, 2020, Inf. Sci..

Birth/birth-death processes and their computable transition probabilities with biological applications

Marc A Suchard, Lam Si Tung Ho, Forrest W. Crawford, 2016, Journal of mathematical biology.

Inferring Phenotypic Trait Evolution on Large Trees With Many Incomplete Measurements

Lam Si Tung Ho, Marc A. Suchard, Philippe Lemey, 2019, Journal of the American Statistical Association.

OASIS: An Active Framework for Set Inversion

Binh T. Nguyen, Vu C. Dinh, Lam Si Tung Ho, 2021, SoMeT.

Consistent Feature Selection for Analytic Deep Neural Networks pdf

Vu C. Dinh, Lam Si Tung Ho, Vu Dinh, 2020, NeurIPS.

Bounds on the Expected Size of the Maximum Agreement Subtree

Seth Sullivant, Mike A. Steel, Katherine St. John, 2015, SIAM J. Discret. Math..

Fast learning rates with heavy-tailed losses

Binh T. Nguyen, Vu C. Dinh, Lam Si Tung Ho, 2016, NIPS.

Phase transition on the convergence rate of parameter estimation under an Ornstein–Uhlenbeck diffusion on a tree

Sébastien Roch, Lam Si Tung Ho, Cécile Ané, 2014, Journal of mathematical biology.

Consistent feature selection for neural networks via Adaptive Group Lasso pdf

Lam Si Tung Ho, Vu Dinh, 2020, ArXiv.

Recovery guarantees for polynomial coefficients from weakly dependent data with outliers

Hayden Schaeffer, Giang Tran, Lam Si Tung Ho, 2020, J. Approx. Theory.

Bayesian Active Learning With Abstention Feedbacks pdf

Binh Nguyen, Binh T. Nguyen, Vu C. Dinh, 2019, Neurocomputing.

Mel-frequency Cepstral Coefficients for Eye Movement Identification

Vu C. Dinh, Lam Si Tung Ho, Viet Cuong Nguyen, 2012, 2012 IEEE 24th International Conference on Tools with Artificial Intelligence.

An active learning framework for set inversion

Binh T. Nguyen, Vu C. Dinh, Vu Dinh, 2019, Knowl. Based Syst..

Multi-task learning improves ancestral state reconstruction.

Vu C. Dinh, Lam Si Tung Ho, Vu Dinh, 2019, Theoretical population biology.

Direct likelihood-based inference for discretely observed stochastic compartmental models of infectious disease

Lam Si Tung Ho, Forrest W. Crawford, Marc A. Suchard, 2016, The Annals of Applied Statistics.

Convergence of maximum likelihood supertree reconstruction

Vu C. Dinh, Lam Si Tung Ho, Vu Dinh, 2021, 2105.01723.

When can we reconstruct the ancestral state? A unified theory.

Vu C. Dinh, Lam Si Tung Ho, Vu Dinh, 2021, Theoretical population biology.

Adaptive group Lasso neural network models for functions of few variables and time-dependent data pdf

Giang Tran, Lam Si Tung Ho, Giang Tran, 2021, Sampling Theory, Signal Processing, and Data Analysis.

Ancestral state reconstruction with large numbers of sequences and edge-length estimation

Lam Si Tung Ho, Edward Susko, E. Susko, 2021, Journal of Mathematical Biology.

Efficient Bayesian inference of general Gaussian models on large phylogenetic trees

Guy Baele, Marc A Suchard, Lam Si Tung Ho, 2020, The Annals of Applied Statistics.

Searching for Minimal Optimal Neural Networks pdf

Vu C. Dinh, Lam Si Tung Ho, Vu Dinh, 2021, Statistics & Probability Letters.

Asymptotic theory with hierarchical autocorrelation: Ornstein–Uhlenbeck tree models

Lam Si Tung Ho, C'ecile An'e, L. Ho, 2013, 1306.1322.

Statistical evidence for common ancestry: Application to primates

Lam Si Tung Ho, Claudia R. Solís-Lemus, Bret Larget, 2016, Evolution; international journal of organic evolution.

Birth(death)/birth-death processes and their computable transition probabilities with statistical applications

Jason Xu, Vladimir N. Minin, Lam Si Tung Ho, 2016 .

Intrinsic inference difficulties for trait evolution with Ornstein‐Uhlenbeck models

Lam Si Tung Ho, Cécile Ané, C. Ané, 2014 .