• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 27 matches

• 2024
• 
  Kiet Q. H. Vo, Muneeb Aadil, Siu Lun Chau, Krikamol Muandet:
  Causal Strategic Learning with Competitive Selection. AAAI 2024: 15411-15419
• 
  Masaki Adachi, Brady Planden, David A. Howey, Michael A. Osborne, Sebastian Orbell, Natalia Ares, Krikamol Muandet, Siu Lun Chau:
  Looping in the Human: Collaborative and Explainable Bayesian Optimization. AISTATS 2024: 505-513
• 
  Anurag Singh, Siu Lun Chau, Shahine Bouabid, Krikamol Muandet:
  Domain Generalisation via Imprecise Learning. ICML 2024
• 
  Anurag Singh, Siu Lun Chau, Shahine Bouabid, Krikamol Muandet:
  Domain Generalisation via Imprecise Learning. CoRR abs/2404.04669 (2024)
• 2023
• 
  Simon Föll, Alina Dubatovka, Eugen Ernst, Siu Lun Chau, Martin Maritsch, Patrik Okanovic, Gudrun Thäter, Joachim M. Buhmann, Felix Wortmann, Krikamol Muandet:
  Gated Domain Units for Multi-source Domain Generalization. Trans. Mach. Learn. Res. 2023 (2023)
• 
  Siu Lun Chau, Krikamol Muandet, Dino Sejdinovic:
  Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models. NeurIPS 2023
• 
  Siu Lun Chau, Krikamol Muandet, Dino Sejdinovic:
  Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models. CoRR abs/2305.15167 (2023)
• 
  Kiet Q. H. Vo, Muneeb Aadil, Siu Lun Chau, Krikamol Muandet:
  Causal Strategic Learning with Competitive Selection. CoRR abs/2308.16262 (2023)
• 
  Masaki Adachi, Brady Planden, David A. Howey, Krikamol Muandet, Michael A. Osborne, Siu Lun Chau:
  Looping in the Human: Collaborative and Explainable Bayesian Optimization. CoRR abs/2310.17273 (2023)
• 2022
• 
  Siu Lun Chau, Javier González, Dino Sejdinovic:
  Learning Inconsistent Preferences with Gaussian Processes. AISTATS 2022: 2266-2281
• 
  Siu Lun Chau, Robert Hu, Javier González, Dino Sejdinovic:
  RKHS-SHAP: Shapley Values for Kernel Methods. NeurIPS 2022
• 
  Robert Hu, Siu Lun Chau, Jaime Ferrando Huertas, Dino Sejdinovic:
  Explaining Preferences with Shapley Values. NeurIPS 2022
• 
  Robert Hu, Siu Lun Chau, Dino Sejdinovic, Joan Glaunès:
  Giga-scale Kernel Matrix-Vector Multiplication on GPU. NeurIPS 2022
• 
  Siu Lun Chau, Mihai Cucuringu, Dino Sejdinovic:
  Spectral Ranking with Covariates. ECML/PKDD (5) 2022: 70-86
• 
  Robert Hu, Siu Lun Chau, Jaime Ferrando Huertas, Dino Sejdinovic:
  Explaining Preferences with Shapley Values. CoRR abs/2205.13662 (2022)
• 2021
• 
  Xingyue Pu, Siu Lun Chau, Xiaowen Dong, Dino Sejdinovic:
  Kernel-Based Graph Learning From Smooth Signals: A Functional Viewpoint. IEEE Trans. Signal Inf. Process. over Networks 7: 192-207 (2021)
• 
  Siu Lun Chau, Shahine Bouabid, Dino Sejdinovic:
  Deconditional Downscaling with Gaussian Processes. NeurIPS 2021: 17813-17825
• 
  Siu Lun Chau, Jean-Francois Ton, Javier González, Yee Whye Teh, Dino Sejdinovic:
  BayesIMP: Uncertainty Quantification for Causal Data Fusion. NeurIPS 2021: 3466-3477
• 
  Siu Lun Chau, Shahine Bouabid, Dino Sejdinovic:
  Deconditional Downscaling with Gaussian Processes. CoRR abs/2105.12909 (2021)
• 
  Siu Lun Chau, Jean-François Ton, Javier González, Yee Whye Teh, Dino Sejdinovic:
  BayesIMP: Uncertainty Quantification for Causal Data Fusion. CoRR abs/2106.03477 (2021)
• 
  Siu Lun Chau, Javier González, Dino Sejdinovic:
  RKHS-SHAP: Shapley Values for Kernel Methods. CoRR abs/2110.09167 (2021)
• 2020
• 
  Evangelos Ntavelis, Andrés Romero, Siavash Bigdeli, Radu Timofte, Zheng Hui, Xiumei Wang, Xinbo Gao, Chajin Shin, Taeoh Kim, Hanbin Son, Sangyoun Lee, Chao Li, Fu Li, Dongliang He, Shilei Wen, Errui Ding, Mengmeng Bai, Shuchen Li, Yu Zeng, Zhe Lin, Jimei Yang, Jianming Zhang, Eli Shechtman, Huchuan Lu, Weijian Zeng, Haopeng Ni, Yiyang Cai, Chenghua Li, Dejia Xu, Haoning Wu, Yu Han, S. M. Nadim Uddin, Hae Woong Jang, Soikat Hasan Ahmed, Jungmin Yoon, Yong Ju Jung, Chu-Tak Li, Zhi-Song Liu, Li-Wen Wang, Wan-Chi Siu, Daniel Pak-Kong Lun, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Pratik Narang, Murari Mandal, Pranjal Singh Chauhan:
  AIM 2020 Challenge on Image Extreme Inpainting. ECCV Workshops (3) 2020: 716-741
• 
  Siu Lun Chau, Mihai Cucuringu, Dino Sejdinovic:
  Spectral Ranking with Covariates. CoRR abs/2005.04035 (2020)
• 
  Siu Lun Chau, Javier González, Dino Sejdinovic:
  Learning Inconsistent Preferences with Kernel Methods. CoRR abs/2006.03847 (2020)
• 
  Xingyue Pu, Siu Lun Chau, Xiaowen Dong, Dino Sejdinovic:
  Kernel-based Graph Learning from Smooth Signals: A Functional Viewpoint. CoRR abs/2008.10065 (2020)
• 2006
• 
  K. T. Arasu, Ka Hin Leung, Siu Lun Ma, Ali Nabavi, Dwijendra K. Ray-Chaudhuri:
  Circulant weighing matrices of weight 2^2t. Des. Codes Cryptogr. 41(1): 111-123 (2006)
• 
  K. T. Arasu, Ka Hin Leung, Siu Lun Ma, Ali Nabavi, Dwijendra K. Ray-Chaudhuri:
  Determination of all possible orders of weight 16 circulant weighing matrices. Finite Fields Their Appl. 12(4): 498-538 (2006)