Lam Si Tung Ho

31 papers A* 1A 1B 2C 3Journal 22Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Simulation-based Methods for Optimal Sampling Design in Systems Biology. CoRR Tuan Minh Ha, Binh Thanh Nguyen, Lam Si Tung Ho
2024	J	`jnl`	Hamiltonian Monte Carlo on ReLU Neural Networks is Inefficient. CoRR Vu C. Dinh, Lam Si Tung Ho, Cuong V. Nguyen
2024	—	`conf`	Simulation-Based Methods for Optimal Sampling Design in Systems Biology. KSE Tuan Minh Ha, Binh Thanh Nguyen, Lam Si Tung Ho
2023	J	`jnl`	A Generalization Bound of Deep Neural Networks for Dependent Data. CoRR Quan Huu Do, Binh T. Nguyen, Lam Si Tung Ho
2023	A	`conf`	Simple Transferability Estimation for Regression Tasks. UAI Cuong N. Nguyen, Phong Tran, Lam Si Tung Ho, Vu C. Dinh, Anh T. Tran, Tal Hassner, Cuong V. Nguyen
2023	J	`jnl`	Simple Transferability Estimation for Regression Tasks. CoRR Cuong N. Nguyen, Phong Tran, Lam Si Tung Ho, Vu C. Dinh, Anh T. Tran, Tal Hassner, Cuong V. Nguyen
2022	J	`jnl`	Bayesian active learning with abstention feedbacks. Neurocomputing Cuong V. Nguyen, Lam Si Tung Ho, Huan Xu, Vu C. Dinh, Binh T. Nguyen
2022	C	`conf`	Generalization Bounds for Deep Transfer Learning Using Majority Predictor Accuracy. ISITA Cuong N. Nguyen, Lam Si Tung Ho, Vu C. Dinh, Tal Hassner, Cuong V. Nguyen
2022	J	`jnl`	Generalization Bounds for Deep Transfer Learning Using Majority Predictor Accuracy. CoRR Cuong N. Nguyen, Lam Si Tung Ho, Vu C. Dinh, Tal Hassner, Cuong V. Nguyen
2022	J	`jnl`	SPADE4: Sparsity and Delay Embedding based Forecasting of Epidemics. CoRR Esha Saha, Lam Si Tung Ho, Giang Tran
2021	J	`jnl`	Adaptive Group Lasso Neural Network Models for Functions of Few Variables and Time-Dependent Data. CoRR Lam Si Tung Ho, Giang Tran
2021	J	`jnl`	OASIS: An Active Framework for Set Inversion. CoRR Binh T. Nguyen, Duy M. H. Nguyen, Lam Si Tung Ho, Vu C. Dinh
2021	J	`jnl`	Posterior concentration and fast convergence rates for generalized Bayesian learning. CoRR Lam Si Tung Ho, Binh T. Nguyen, Vu C. Dinh, Duy Nguyen
2021	J	`jnl`	Searching for Minimal Optimal Neural Networks. CoRR Lam Si Tung Ho, Vu C. Dinh
2020	J	`jnl`	Consistent Feature Selection for Analytic Deep Neural Networks. CoRR Vu C. Dinh, Lam Si Tung Ho
2020	A*	`conf`	Consistent feature selection for analytic deep neural networks. NeurIPS Vu C. Dinh, Lam Si Tung Ho
2020	J	`jnl`	Consistent feature selection for neural networks via Adaptive Group Lasso. CoRR Lam Si Tung Ho, Vu C. Dinh
2020	J	`jnl`	Posterior concentration and fast convergence rates for generalized Bayesian learning. Inf. Sci. Lam Si Tung Ho, Binh T. Nguyen, Vu C. Dinh, Duy M. H. Nguyen
2020	J	`jnl`	Recovery guarantees for polynomial coefficients from weakly dependent data with outliers. J. Approx. Theory Lam Si Tung Ho, Hayden Schaeffer, Giang Tran, Rachel A. Ward
2019	J	`jnl`	An active learning framework for set inversion. Knowl. Based Syst. Binh T. Nguyen, Duy M. H. Nguyen, Lam Si Tung Ho, Vu C. Dinh
2019	J	`jnl`	Bayesian Active Learning With Abstention Feedbacks. CoRR Cuong V. Nguyen, Lam Si Tung Ho, Huan Xu, Vu C. Dinh, Binh T. Nguyen
2018	C	`conf`	OASIS: An Active Framework for Set Inversion. SoMeT Binh T. Nguyen, Duy M. H. Nguyen, Lam Si Tung Ho, Vu C. Dinh
2018	J	`jnl`	Recovery guarantees for polynomial approximation from dependent data with outliers. CoRR Lam Si Tung Ho, Hayden Schaeffer, Giang Tran, Rachel A. Ward
2016	—	`conf`	Fast learning rates with heavy-tailed losses. NIPS Vu C. Dinh, Lam Si Tung Ho, Binh T. Nguyen, Duy M. H. Nguyen
2016	J	`jnl`	Fast learning rates with heavy-tailed losses. CoRR Vu C. Dinh, Lam Si Tung Ho, Duy M. H. Nguyen, Binh T. Nguyen
2015	J	`jnl`	Bounds on the Expected Size of the Maximum Agreement Subtree. SIAM J. Discret. Math. Daniel Irving Bernstein, Lam Si Tung Ho, Colby Long, Mike A. Steel, Katherine St. John, Seth Sullivant
2015	C	`conf`	Learning from Non-iid Data: Fast Rates for the One-vs-All Multiclass Plug-in Classifiers. TAMC Vu C. Dinh, Lam Si Tung Ho, Viet Cuong Nguyen, Duy M. H. Nguyen, Binh T. Nguyen
2014	J	`jnl`	Bounds on the Expected Size of the Maximum Agreement Subtree. CoRR Daniel Irving Bernstein, Lam Si Tung Ho, Colby Long, Mike A. Steel, Katherine St. John, Seth Sullivant
2014	J	`jnl`	Phase transition on the convergence rate of parameter estimation under an Ornstein-Uhlenbeck diffusion on a tree. CoRR Cécile Ané, Lam Si Tung Ho, Sebastien Roch
2013	B	`conf`	Generalization and Robustness of Batched Weighted Average Algorithm with V-Geometrically Ergodic Markov Data. ALT Viet Cuong Nguyen, Lam Si Tung Ho, Vu C. Dinh
2012	B	`conf`	Mel-frequency Cepstral Coefficients for Eye Movement Identification. ICTAI Viet Cuong Nguyen, Vu C. Dinh, Lam Si Tung Ho