Laiwan Chan - RankMe

44 papers A* 4A 1B 6C 5Journal 19Unranked 6

Year	Rank	Type	Title / Venue / Authors
2019	A	`conf`	Domain Generalization via Multidomain Discriminant Analysis. UAI Shoubo Hu, Kun Zhang, Zhitang Chen, Laiwan Chan
2019	J	`jnl`	Domain Generalization via Multidomain Discriminant Analysis. CoRR Shoubo Hu, Kun Zhang, Zhitang Chen, Laiwan Chan
2019	J	`jnl`	Model-free inference of diffusion networks using RKHS embeddings. Data Min. Knowl. Discov. Shoubo Hu, Bogdan Cautis, Zhitang Chen, Laiwan Chan, Yanhui Geng, Xiuqiang He
2018	J	`jnl`	A Kernel Embedding-Based Approach for Nonstationary Causal Model Inference. Neural Comput. Shoubo Hu, Zhitang Chen, Laiwan Chan
2018	J	`jnl`	A Kernel Embedding-based Approach for Nonstationary Causal Model Inference. CoRR Shoubo Hu, Zhitang Chen, Laiwan Chan
2018	J	`jnl`	Causal Inference and Mechanism Clustering of a Mixture of Additive Noise Models. CoRR Shoubo Hu, Zhitang Chen, Vahid Partovi Nia, Laiwan Chan, Yanhui Geng
2018	J	`jnl`	Causal Inference on Discrete Data via Estimating Distance Correlations. CoRR Furui Liu, Laiwan Chan
2018	J	`jnl`	Confounder Detection in High Dimensional Linear Models using First Moments of Spectral Measures. CoRR Furui Liu, Laiwan Chan
2018	J	`jnl`	Confounder Detection in High-Dimensional Linear Models Using First Moments of Spectral Measures. Neural Comput. Furui Liu, Laiwan Chan
2017	C	`conf`	On the Relations of Theoretical Foundations of Different Causal Inference Algorithms. IDEAL Furui Liu, Laiwan Chan
2016	J	`jnl`	Causal Discovery on Discrete Data with Extensions to Mixture Model. ACM Trans. Intell. Syst. Technol. Furui Liu, Laiwan Chan
2016	J	`jnl`	Causal Inference on Discrete Data via Estimating Distance Correlations. Neural Comput. Furui Liu, Laiwan Chan
2014	J	`jnl`	Causal Discovery via Reproducing Kernel Hilbert Space Embeddings. Neural Comput. Zhitang Chen, Kun Zhang, Laiwan Chan, Bernhard Schölkopf
2013	J	`jnl`	Bridging Information Criteria and Parameter Shrinkage for Model Selection. CoRR Kun Zhang, Heng Peng, Laiwan Chan, Aapo Hyvärinen
2013	J	`jnl`	Causality in Linear Nongaussian Acyclic Models in the Presence of Latent Gaussian Confounders. Neural Comput. Zhitang Chen, Laiwan Chan
2013	A*	`conf`	Nonlinear Causal Discovery for High Dimensional Data: A Kernelized Trace Method. ICDM Zhitang Chen, Kun Zhang, Laiwan Chan
2012	—	`conf`	Causal Discovery for Linear Non-Gaussian Acyclic Models in the Presence of Latent Gaussian Confounders. LVA/ICA Zhitang Chen, Laiwan Chan
2012	—	`conf`	Causal discovery with scale-mixture model for spatiotemporal variance dependencies. NIPS Zhitang Chen, Kun Zhang, Laiwan Chan
2012	J	`jnl`	Learning Causal Relations in Multivariate Time Series Data. ACM Trans. Intell. Syst. Technol. Zhenxing Wang, Laiwan Chan
2012	J	`jnl`	Learning bayesian networks from Markov random fields: An efficient algorithm for linear models. ACM Trans. Knowl. Discov. Data Zhenxing Wang, Laiwan Chan
2011	B	`conf`	New approaches for solving permutation indeterminacy and scaling ambiguity in frequency domain separation of convolved mixtures. IJCNN Zhitang Chen, Laiwan Chan
2011	A*	`conf`	Using Bayesian Network Learning Algorithm to Discover Causal Relations in Multivariate Time Series. ICDM Zhenxing Wang, Laiwan Chan
2010	A*	`conf`	An efficient causal discovery algorithm for linear models. KDD Zhenxing Wang, Laiwan Chan
2009	C	`conf`	A Heuristic Partial-Correlation-Based Algorithm for Causal Relationship Discovery on Continuous Data. IDEAL Zhenxing Wang, Laiwan Chan
2009	—	`conf`	ICA with Sparse Connections: Revisited. ICA Kun Zhang, Heng Peng, Laiwan Chan, Aapo Hyvärinen
2008	B	`conf`	Clustered Dynamic Conditional Correlation Multivariate GARCH Model. DaWaK Tu Zhou, Laiwan Chan
2008	J	`jnl`	Discovering Biclusters by Iteratively Sorting with Weighted Correlation Coefficient in Gene Expression Data. J. Signal Process. Syst. Li Teng, Laiwan Chan
2008	J	`jnl`	Discovering Distinct Patterns in Gene Expression Profiles. J. Integr. Bioinform. Li Teng, Laiwan Chan
2007	C	`conf`	Independent Factor Reinforcement Learning for Portfolio Management. IDEAL Jian Li, Kun Zhang, Laiwan Chan
2007	—	`conf`	Kernel-Based Nonlinear Independent Component Analysis. ICA Kun Zhang, Laiwan Chan
2007	C	`conf`	Mining Order Preserving Patterns in Microarray Data by Finding Frequent Orders. BIBE Li Teng, Laiwan Chan
2007	A*	`conf`	Nonlinear independent component analysis with minimal nonlinear distortion. ICML Kun Zhang, Laiwan Chan
2007	—	`conf`	Order Preserving Clustering by Finding Frequent Orders in Gene Expression Data. PRIB Li Teng, Laiwan Chan
2007	J	`jnl`	Separating Convolutive Mixtures By Pairwise Mutual Information Minimization. IEEE Signal Process. Lett. Kun Zhang, Laiwan Chan
2006	—	`ed.`	Neural Information Processing, 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part I ICONIP (1) Irwin King, Jun Wang, Laiwan Chan, DeLiang L. Wang
2006	—	`ed.`	Neural Information Processing, 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part II ICONIP (2) Irwin King, Jun Wang, Laiwan Chan, DeLiang L. Wang
2006	—	`ed.`	Neural Information Processing, 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part III ICONIP (3) Irwin King, Jun Wang, Laiwan Chan, DeLiang L. Wang
2006	B	`conf`	Reward Adjustment Reinforcement Learning for Risk-averse Asset Allocation. IJCNN Jian Li, Laiwan Chan
2004	—	`conf`	Biased Minimax Probability Machine for Medical Diagnosis. AI&M Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, Laiwan Chan
2004	B	`conf`	Outliers Treatment in Support Vector Regression for Financial Time Series Prediction. ICONIP Haiqin Yang, Kaizhu Huang, Laiwan Chan, Irwin King, Michael R. Lyu
2004	J	`jnl`	The Minimum Error Minimax Probability Machine. J. Mach. Learn. Res. Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, Laiwan Chan
2002	C	`conf`	Support Vector Machine Regression for Volatile Stock Market Prediction. IDEAL Haiqin Yang, Laiwan Chan, Irwin King
1998	B	`conf`	An Adaptive Learning Rate for Training Ring-Structured Recurrent Network. ICONIP Daqing Chen, Laiwan Chan
1998	B	`conf`	Training Recurrent Neural Networks by Using Parallel Recursive Prediction Error Algorithm. ICONIP Daqing Chen, Laiwan Chan