| 2009 |
| 27 | EE | Maria-Florina Balcan,
Avrim Blum,
Anupam Gupta:
Approximate clustering without the approximation.
SODA 2009: 1068-1077 |
| 26 | EE | Maria-Florina Balcan,
Avrim Blum,
Yishay Mansour:
Improved equilibria via public service advertising.
SODA 2009: 728-737 |
| 25 | EE | Maria-Florina Balcan,
Alina Beygelzimer,
John Langford:
Agnostic active learning.
J. Comput. Syst. Sci. 75(1): 78-89 (2009) |
| 2008 |
| 24 | EE | Maria-Florina Balcan,
Avrim Blum,
Yishay Mansour:
Item pricing for revenue maximization.
ACM Conference on Electronic Commerce 2008: 50-59 |
| 23 | EE | Maria-Florina Balcan,
Avrim Blum:
Clustering with Interactive Feedback.
ALT 2008: 316-328 |
| 22 | EE | Maria-Florina Balcan,
Avrim Blum,
Nathan Srebro:
Improved Guarantees for Learning via Similarity Functions.
COLT 2008: 287-298 |
| 21 | EE | Maria-Florina Balcan,
Steve Hanneke,
Jennifer Wortman:
The True Sample Complexity of Active Learning.
COLT 2008: 45-56 |
| 20 | EE | Maria-Florina Balcan,
Avrim Blum,
Santosh Vempala:
A discriminative framework for clustering via similarity functions.
STOC 2008: 671-680 |
| 19 | EE | Maria-Florina Balcan,
Avrim Blum,
Jason D. Hartline,
Yishay Mansour:
Reducing mechanism design to algorithm design via machine learning.
J. Comput. Syst. Sci. 74(8): 1245-1270 (2008) |
| 18 | EE | Maria-Florina Balcan,
Nikhil Bansal,
Alina Beygelzimer,
Don Coppersmith,
John Langford,
Gregory B. Sorkin:
Robust reductions from ranking to classification.
Machine Learning 72(1-2): 139-153 (2008) |
| 17 | EE | Maria-Florina Balcan,
Avrim Blum,
Nathan Srebro:
A theory of learning with similarity functions.
Machine Learning 72(1-2): 89-112 (2008) |
| 2007 |
| 16 | EE | Maria-Florina Balcan,
Andrei Z. Broder,
Tong Zhang:
Margin Based Active Learning.
COLT 2007: 35-50 |
| 15 | EE | Maria-Florina Balcan,
Nikhil Bansal,
Alina Beygelzimer,
Don Coppersmith,
John Langford,
Gregory B. Sorkin:
Robust Reductions from Ranking to Classification.
COLT 2007: 604-619 |
| 14 | EE | Avrim Blum,
Maria-Florina Balcan:
Open Problems in Efficient Semi-supervised PAC Learning.
COLT 2007: 622-624 |
| 13 | EE | Maria-Florina Balcan:
Item Pricing for Revenue Maximization in Combinatorial Auctions.
Computational Social Systems and the Internet 2007 |
| 12 | EE | Maria-Florina Balcan,
Avrim Blum,
T.-H. Hubert Chan,
MohammadTaghi Hajiaghayi:
A Theory of Loss-Leaders: Making Money by Pricing Below Cost.
WINE 2007: 293-299 |
| 11 | EE | Maria-Florina Balcan,
Avrim Blum:
Mechanism design, machine learning, and pricing problems.
SIGecom Exchanges 7(1): 34-36 (2007) |
| 10 | EE | Maria-Florina Balcan,
Avrim Blum:
Approximation Algorithms and Online Mechanisms for Item Pricing.
Theory of Computing 3(1): 179-195 (2007) |
| 2006 |
| 9 | EE | Maria-Florina Balcan,
Avrim Blum:
Approximation algorithms and online mechanisms for item pricing.
ACM Conference on Electronic Commerce 2006: 29-35 |
| 8 | EE | Maria-Florina Balcan,
Alina Beygelzimer,
John Langford:
Agnostic active learning.
ICML 2006: 65-72 |
| 7 | EE | Maria-Florina Balcan,
Avrim Blum:
On a theory of learning with similarity functions.
ICML 2006: 73-80 |
| 6 | EE | Maria-Florina Balcan,
Avrim Blum,
Santosh Vempala:
Kernels as features: On kernels, margins, and low-dimensional mappings.
Machine Learning 65(1): 79-94 (2006) |
| 2005 |
| 5 | EE | Maria-Florina Balcan,
Avrim Blum:
A PAC-Style Model for Learning from Labeled and Unlabeled Data.
COLT 2005: 111-126 |
| 4 | EE | Maria-Florina Balcan,
Avrim Blum,
Jason D. Hartline,
Yishay Mansour:
Mechanism Design via Machine Learning.
FOCS 2005: 605-614 |
| 2004 |
| 3 | EE | Maria-Florina Balcan,
Avrim Blum,
Santosh Vempala:
On Kernels, Margins, and Low-Dimensional Mappings.
ALT 2004: 194-205 |
| 2 | EE | Maria-Florina Balcan,
Avrim Blum,
Ke Yang:
Co-Training and Expansion: Towards Bridging Theory and Practice.
NIPS 2004 |
| 2001 |
| 1 | EE | Ergina Kavallieratou,
Doru-Cristian Balcan,
Maria-Florina Popa,
Nikos Fakotakis:
Handwritten text localization in skewed documents.
ICIP (1) 2001: 1102-1105 |