default search action
Liu Yang 0001
Person information
- affiliation: Yale University, New Haven, CT, USA
- affiliation (former): IBM T.J. Watson Research Center, Yorktown Heights, USA
- affiliation (former): Carnegie Mellon University, Machine Learning Department, Pittsburgh, PA, USA
- affiliation (former): Michigan State University, East Lansing, MI, USA
Other persons with the same name
- Liu Yang — disambiguation page
- Liu Yang 0002 — Guangzhou University, School of Computer Science and Education Software, China (and 1 more)
- Liu Yang 0003 — Chongqing University of Posts and Telecommunications, School of Communication and Information Engineering, China
- Liu Yang 0004 — Army Engineering University of PLA, College of Communication Engineering, Nanjing, China
- Liu Yang 0005 — University of Massachusetts Amherst, College of Information and Computer Sciences, MA, USA
- Liu Yang 0006 — Beijing Jiaotong University, State Key Laboratory of Rail Traffic Control and Safety, China
- Liu Yang 0007 — Beijing Institute of Technology, School of Automation, China
- Liu Yang 0008 — Hong Kong University of Science and Technology, Department of Computer Science and Engineering, Hong Kong
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2023
- [c22]Steve Hanneke, Liu Yang:
Bandit Learnability can be Undecidable. COLT 2023: 5813-5849 - 2021
- [c21]Steve Hanneke, Liu Yang:
Toward a General Theory of Online Selective Sampling: Trading Off Mistakes and Queries. AISTATS 2021: 3997-4005
2010 – 2019
- 2019
- [c20]Steve Hanneke, Liu Yang:
Statistical Learning under Nonstationary Mixing Processes. AISTATS 2019: 1678-1686 - 2018
- [j5]Liu Yang, Steve Hanneke, Jaime G. Carbonell:
Bounds on the minimax rate for estimating a prior over a VC class from independent learning tasks. Theor. Comput. Sci. 716: 124-140 (2018) - [j4]Steve Hanneke, Liu Yang:
Testing piecewise functions. Theor. Comput. Sci. 745: 23-35 (2018) - 2017
- [i9]Amit Dhurandhar, Steve Hanneke, Liu Yang:
Learning with Changing Features. CoRR abs/1705.00219 (2017) - [i8]Steve Hanneke, Liu Yang:
Testing Piecewise Functions. CoRR abs/1706.07669 (2017) - 2015
- [j3]Steve Hanneke, Liu Yang:
Minimax analysis of active learning. J. Mach. Learn. Res. 16: 3487-3602 (2015) - [c19]Steve Hanneke, Varun Kanade, Liu Yang:
Learning with a Drifting Target Concept. ALT 2015: 149-164 - [c18]Liu Yang, Steve Hanneke, Jaime G. Carbonell:
Bounds on the Minimax Rate for Estimating a Prior over a VC Class from Independent Learning Tasks. ALT 2015: 270-284 - [c17]Avrim Blum, Yishay Mansour, Liu Yang:
Online Allocation and Pricing with Economies of Scale. WINE 2015: 159-172 - [i7]Steve Hanneke, Varun Kanade, Liu Yang:
Learning with a Drifting Target Concept. CoRR abs/1505.05215 (2015) - [i6]Liu Yang, Steve Hanneke, Jaime G. Carbonell:
Bounds on the Minimax Rate for Estimating a Prior over a VC Class from Independent Learning Tasks. CoRR abs/1505.05231 (2015) - [i5]Steve Hanneke, Tommi S. Jaakkola, Liu Yang:
Statistical Learning under Nonstationary Mixing Processes. CoRR abs/1512.08064 (2015) - 2014
- [i4]Steve Hanneke, Liu Yang:
Minimax Analysis of Active Learning. CoRR abs/1410.0996 (2014) - 2013
- [j2]Liu Yang, Steve Hanneke, Jaime G. Carbonell:
A theory of transfer learning with applications to active learning. Mach. Learn. 90(2): 161-189 (2013) - [c16]Liu Yang, Steve Hanneke:
Activized Learning with Uniform Classification Noise. ICML (2) 2013: 370-378 - [c15]Liu Yang, Avrim Blum, Jaime G. Carbonell:
Learnability of DNF with representation-specific queries. ITCS 2013: 37-46 - [c14]Liu Yang, Jaime G. Carbonell:
Buy-in-Bulk Active Learning. NIPS 2013: 2229-2237 - 2012
- [c13]Maria-Florina Balcan, Eric Blais, Avrim Blum, Liu Yang:
Active Property Testing. FOCS 2012: 21-30 - [i3]Liu Yang, Rong Jin, Rahul Sukthankar:
Bayesian Active Distance Metric Learning. CoRR abs/1206.5283 (2012) - [i2]Steve Hanneke, Liu Yang:
Surrogate Losses in Passive and Active Learning. CoRR abs/1207.3772 (2012) - 2011
- [c12]Liu Yang, Steve Hanneke, Jaime G. Carbonell:
Identifiability of Priors from Bounded Sample Sizes with Applications to Transfer Learning. COLT 2011: 789-806 - [c11]Liu Yang, Steve Hanneke, Jaime G. Carbonell:
The Sample Complexity of Self-Verifying Bayesian Active Learning. AISTATS 2011: 816-822 - [i1]Maria-Florina Balcan, Eric Blais, Avrim Blum, Liu Yang:
Active Testing. CoRR abs/1111.0897 (2011) - 2010
- [j1]Liu Yang, Rong Jin, Lily B. Mummert, Rahul Sukthankar, Adam Goode, Bin Zheng, Steven C. H. Hoi, Mahadev Satyanarayanan:
A Boosting Framework for Visuality-Preserving Distance Metric Learning and Its Application to Medical Image Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 32(1): 30-44 (2010) - [c10]Liu Yang, Steve Hanneke, Jaime G. Carbonell:
Bayesian Active Learning Using Arbitrary Binary Valued Queries. ALT 2010: 50-58 - [c9]Steve Hanneke, Liu Yang:
Negative Results for Active Learning with Convex Losses. AISTATS 2010: 321-325
2000 – 2009
- 2009
- [c8]Liu Yang, Rong Jin, Jieping Ye:
Online learning by ellipsoid method. ICML 2009: 1153-1160 - 2008
- [c7]Liu Yang, Rong Jin, Rahul Sukthankar, Frédéric Jurie:
Unifying discriminative visual codebook generation with classifier training for object category recognition. CVPR 2008 - [c6]Liu Yang, Rong Jin, Rahul Sukthankar:
Semi-supervised Learning with Weakly-Related Unlabeled Data: Towards Better Text Categorization. NIPS 2008: 1857-1864 - 2007
- [c5]Liu Yang, Rong Jin, Caroline Pantofaru, Rahul Sukthankar:
Discriminative Cluster Refinement: Improving Object Category Recognition Given Limited Training Data. CVPR 2007 - [c4]Liu Yang, Rong Jin, Rahul Sukthankar, Bin Zheng, Lily B. Mummert, Mahadev Satyanarayanan, Mei Chen, Drazen Jukic:
Learning distance metrics for interactive search-assisted diagnosis of mammograms. Medical Imaging: Computer-Aided Diagnosis 2007: 65141H - [c3]Liu Yang, Rong Jin, Rahul Sukthankar:
Bayesian Active Distance Metric Learning. UAI 2007: 442-449 - 2006
- [c2]Yi Liu, Rong Jin, Liu Yang:
Semi-supervised Multi-label Learning by Constrained Non-negative Matrix Factorization. AAAI 2006: 421-426 - [c1]Liu Yang, Rong Jin, Rahul Sukthankar, Yi Liu:
An Efficient Algorithm for Local Distance Metric Learning. AAAI 2006: 543-548
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-30 20:30 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint