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ORCIDCorinna Cortes
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- award (2008): Paris Kanellakis Award
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2020 – today
- 2024
[j18]Corinna Cortes, Giulia DeSalvo
, Mehryar Mohri:
Theory and algorithms for learning with rejection in binary classification. Ann. Math. Artif. Intell. 92(2): 277-315 (2024)- [j17]Pranjal Awasthi, Corinna Cortes, Mehryar Mohri:
Best-effort adaptation. Ann. Math. Artif. Intell. 92(2): 393-438 (2024) - [c75]Raef Bassily, Corinna Cortes, Anqi Mao, Mehryar Mohri:
Differentially Private Domain Adaptation with Theoretical Guarantees. ICML 2024 - [c74]Pranjal Awasthi, Corinna Cortes, Yishay Mansour, Mehryar Mohri:
A Theory of Learning with Competing Objectives and User Feedback. ISAIM 2024: 10-49 - [i23]Corinna Cortes, Anqi Mao, Christopher Mohri, Mehryar Mohri, Yutao Zhong:
Cardinality-Aware Set Prediction and Top-k Classification. CoRR abs/2407.07140 (2024) - 2023
- [c73]Pranjal Awasthi, Corinna Cortes, Christopher Mohri:
Theory and Algorithm for Batch Distribution Drift Problems. AISTATS 2023: 9826-9851 - [i22]Pranjal Awasthi, Corinna Cortes, Mehryar Mohri:
Best-Effort Adaptation. CoRR abs/2305.05816 (2023) - [i21]Raef Bassily, Corinna Cortes, Anqi Mao, Mehryar Mohri:
Differentially Private Domain Adaptation with Theoretical Guarantees. CoRR abs/2306.08838 (2023) - 2021
- [c72]Corinna Cortes, Mehryar Mohri, Ananda Theertha Suresh:
Relative Deviation Margin Bounds. ICML 2021: 2122-2131 - [c71]Corinna Cortes, Mehryar Mohri, Ananda Theertha Suresh, Ningshan Zhang:
A Discriminative Technique for Multiple-Source Adaptation. ICML 2021: 2132-2143 - [c70]Corinna Cortes, Mehryar Mohri, Dmitry Storcheus, Ananda Theertha Suresh:
Boosting with Multiple Sources. NeurIPS 2021: 17373-17387 - [i20]Corinna Cortes, Neil D. Lawrence:
Inconsistency in Conference Peer Review: Revisiting the 2014 NeurIPS Experiment. CoRR abs/2109.09774 (2021) - 2020
- [c69]Kareem Amin, Corinna Cortes, Giulia DeSalvo, Afshin Rostamizadeh:
Understanding the Effects of Batching in Online Active Learning. AISTATS 2020: 3482-3492 - [c68]Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang:
Adaptive Region-Based Active Learning. ICML 2020: 2144-2153 - [c67]Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang:
Online Learning with Dependent Stochastic Feedback Graphs. ICML 2020: 2154-2163 - [c66]Corinna Cortes, Mehryar Mohri, Javier Gonzalvo, Dmitry Storcheus:
Agnostic Learning with Multiple Objectives. NeurIPS 2020 - [i19]Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang:
Adaptive Region-Based Active Learning. CoRR abs/2002.07348 (2020) - [i18]Corinna Cortes, Mehryar Mohri, Ananda Theertha Suresh:
Relative Deviation Margin Bounds. CoRR abs/2006.14950 (2020) - [i17]Pranjal Awasthi, Corinna Cortes, Yishay Mansour, Mehryar Mohri:
Beyond Individual and Group Fairness. CoRR abs/2008.09490 (2020) - [i16]Corinna Cortes, Mehryar Mohri, Ananda Theertha Suresh, Ningshan Zhang:
Multiple-Source Adaptation with Domain Classifiers. CoRR abs/2008.11036 (2020)
2010 – 2019
- 2019
- [j16]Corinna Cortes, Spencer Greenberg, Mehryar Mohri:
Relative deviation learning bounds and generalization with unbounded loss functions. Ann. Math. Artif. Intell. 85(1): 45-70 (2019) - [j15]Corinna Cortes, Mehryar Mohri, Andrés Muñoz Medina:
Adaptation Based on Generalized Discrepancy. J. Mach. Learn. Res. 20: 1:1-1:30 (2019) - [c65]Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang:
Region-Based Active Learning. AISTATS 2019: 2801-2809 - [c64]Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Holakou Rahmanian, Manfred K. Warmuth:
Online Non-Additive Path Learning under Full and Partial Information. ALT 2019: 274-299 - [c63]Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Scott Yang:
Online Learning with Sleeping Experts and Feedback Graphs. ICML 2019: 1370-1378 - [c62]Corinna Cortes, Giulia DeSalvo, Mehryar Mohri, Ningshan Zhang, Claudio Gentile:
Active Learning with Disagreement Graphs. ICML 2019: 1379-1387 - [c61]Corinna Cortes, Mehryar Mohri, Dmitry Storcheus:
Regularized Gradient Boosting. NeurIPS 2019: 5450-5459 - [c60]Ben Adlam, Corinna Cortes, Mehryar Mohri, Ningshan Zhang:
Learning GANs and Ensembles Using Discrepancy. NeurIPS 2019: 5788-5799 - [i15]Charles Weill, Javier Gonzalvo, Vitaly Kuznetsov, Scott Yang, Scott Yak, Hanna Mazzawi, Eugen Hotaj, Ghassen Jerfel, Vladimir Macko, Ben Adlam, Mehryar Mohri, Corinna Cortes:
AdaNet: A Scalable and Flexible Framework for Automatically Learning Ensembles. CoRR abs/1905.00080 (2019) - [i14]Ben Adlam, Corinna Cortes, Mehryar Mohri, Ningshan Zhang:
Learning GANs and Ensembles Using Discrepancy. CoRR abs/1910.08965 (2019) - 2018
- [c59]Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Scott Yang:
Online Learning with Abstention. ICML 2018: 1067-1075 - [c58]Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Dmitry Storcheus, Scott Yang:
Efficient Gradient Computation for Structured Output Learning with Rational and Tropical Losses. NeurIPS 2018: 6811-6822 - [i13]Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Holakou Rahmanian, Manfred K. Warmuth:
Online Non-Additive Path Learning under Full and Partial Information. CoRR abs/1804.06518 (2018) - 2017
- [c57]Corinna Cortes, Xavier Gonzalvo, Vitaly Kuznetsov, Mehryar Mohri, Scott Yang:
AdaNet: Adaptive Structural Learning of Artificial Neural Networks. ICML 2017: 874-883 - [i12]Corinna Cortes, Giulia DeSalvo, Mehryar Mohri, Scott Yang:
On-line Learning with Abstention. CoRR abs/1703.03478 (2017) - 2016
- [c56]Corinna Cortes, Giulia DeSalvo, Mehryar Mohri:
Learning with Rejection. ALT 2016: 67-82 - [c55]Corinna Cortes, Giulia DeSalvo, Mehryar Mohri:
Boosting with Abstention. NIPS 2016: 1660-1668 - [c54]Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Scott Yang:
Structured Prediction Theory Based on Factor Graph Complexity. NIPS 2016: 2514-2522 - [p1]Corinna Cortes, Kathleen Fisher, Daryl Pregibon, Anne Rogers, Frederick Smith:
Hancock: A Language for Analyzing Transactional Data Streams. Data Stream Management 2016: 387-408 - [i11]Corinna Cortes, Mehryar Mohri, Vitaly Kuznetsov, Scott Yang:
Structured Prediction Theory and Voted Risk Minimization. CoRR abs/1605.06443 (2016) - [i10]Corinna Cortes, Xavi Gonzalvo, Vitaly Kuznetsov, Mehryar Mohri, Scott Yang:
AdaNet: Adaptive Structural Learning of Artificial Neural Networks. CoRR abs/1607.01097 (2016) - 2015
- [c53]Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Manfred K. Warmuth:
On-Line Learning Algorithms for Path Experts with Non-Additive Losses. COLT 2015: 424-447 - [c52]Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Umar Syed:
Structural Maxent Models. ICML 2015: 391-399 - [c51]Corinna Cortes, Mehryar Mohri, Andres Muñoz Medina:
Adaptation Algorithm and Theory Based on Generalized Discrepancy. KDD 2015: 169-178 - [c50]Corinna Cortes, Prasoon Goyal, Vitaly Kuznetsov, Mehryar Mohri:
Kernel Extraction via Voted Risk Minimization. FE@NIPS 2015: 72-89 - [e2]Corinna Cortes, Neil D. Lawrence, Daniel D. Lee, Masashi Sugiyama, Roman Garnett:
Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7-12, 2015, Montreal, Quebec, Canada. 2015 [contents] - [i9]Corinna Cortes, Prasoon Goyal, Vitaly Kuznetsov, Mehryar Mohri:
Voted Kernel Regularization. CoRR abs/1509.04340 (2015) - 2014
- [j14]Corinna Cortes, Mehryar Mohri:
Domain adaptation and sample bias correction theory and algorithm for regression. Theor. Comput. Sci. 519: 103-126 (2014) - [c49]Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri:
Learning Ensembles of Structured Prediction Rules. ACL (1) 2014: 1-12 - [c48]Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri:
Ensemble Methods for Structured Prediction. ICML 2014: 1134-1142 - [c47]Corinna Cortes, Mehryar Mohri, Umar Syed:
Deep Boosting. ICML 2014: 1179-1187 - [e1]Zoubin Ghahramani, Max Welling, Corinna Cortes, Neil D. Lawrence, Kilian Q. Weinberger:
Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, December 8-13 2014, Montreal, Quebec, Canada. 2014 [contents] - [i8]Corinna Cortes, Mehryar Mohri, Andres Muñoz Medina:
Adaptation Algorithm and Theory Based on Generalized Discrepancy. CoRR abs/1405.1503 (2014) - 2013
- [c46]Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh:
Multi-Class Classification with Maximum Margin Multiple Kernel. ICML (3) 2013: 46-54 - [c45]Corinna Cortes, Marius Kloft, Mehryar Mohri:
Learning Kernels Using Local Rademacher Complexity. NIPS 2013: 2760-2768 - [i7]Corinna Cortes, Spencer Greenberg, Mehryar Mohri:
Relative Deviation Learning Bounds and Generalization with Unbounded Loss Functions. CoRR abs/1310.5796 (2013) - 2012
- [j13]Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh:
Algorithms for Learning Kernels Based on Centered Alignment. J. Mach. Learn. Res. 13: 795-828 (2012) - [c44]Stephen P. Boyd, Corinna Cortes, Mehryar Mohri, Ana Radovanovic:
Accuracy at the Top. NIPS 2012: 962-970 - [i6]Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh:
Ensembles of Kernel Predictors. CoRR abs/1202.3712 (2012) - [i5]Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh:
Algorithms for Learning Kernels Based on Centered Alignment. CoRR abs/1203.0550 (2012) - [i4]Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh:
L2 Regularization for Learning Kernels. CoRR abs/1205.2653 (2012) - 2011
- [j12]Cyril Allauzen, Corinna Cortes, Mehryar Mohri:
A Dual Coordinate Descent Algorithm for SVMs Combined with Rational Kernels. Int. J. Found. Comput. Sci. 22(8): 1761-1779 (2011) - [c43]Corinna Cortes, Mehryar Mohri:
Domain Adaptation in Regression. ALT 2011: 308-323 - [c42]Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh:
Ensembles of Kernel Predictors. UAI 2011: 145-152 - 2010
- [c41]Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh:
Two-Stage Learning Kernel Algorithms. ICML 2010: 239-246 - [c40]Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh:
Generalization Bounds for Learning Kernels. ICML 2010: 247-254 - [c39]Corinna Cortes, Yishay Mansour, Mehryar Mohri:
Learning Bounds for Importance Weighting. NIPS 2010: 442-450 - [c38]Cyril Allauzen, Corinna Cortes, Mehryar Mohri:
Large-Scale Training of SVMs with Automata Kernels. CIAA 2010: 17-27 - [c37]Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Corinna Cortes, Mehryar Mohri:
Half Transductive Ranking. AISTATS 2010: 49-56 - [c36]Corinna Cortes, Mehryar Mohri, Ameet Talwalkar:
On the Impact of Kernel Approximation on Learning Accuracy. AISTATS 2010: 113-120
2000 – 2009
- 2009
- [c35]Corinna Cortes:
Invited talk: Can learning kernels help performance? ICML 2009: 1 - [c34]Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Corinna Cortes, Mehryar Mohri:
Polynomial Semantic Indexing. NIPS 2009: 64-72 - [c33]Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh:
Learning Non-Linear Combinations of Kernels. NIPS 2009: 396-404 - [c32]Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh:
L2 Regularization for Learning Kernels. UAI 2009: 109-116 - [i3]Corinna Cortes, Mehryar Mohri, Dmitry Pechyony, Ashish Rastogi:
Stability Analysis and Learning Bounds for Transductive Regression Algorithms. CoRR abs/0904.0814 (2009) - [i2]Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh:
New Generalization Bounds for Learning Kernels. CoRR abs/0912.3309 (2009) - 2008
- [j11]Corinna Cortes, Mehryar Mohri, Ashish Rastogi, Michael Riley:
On the Computation of the Relative Entropy of Probabilistic Automata. Int. J. Found. Comput. Sci. 19(1): 219-242 (2008) - [j10]Leonid Kontorovich, Corinna Cortes, Mehryar Mohri:
Kernel methods for learning languages. Theor. Comput. Sci. 405(3): 223-236 (2008) - [c31]Corinna Cortes, Mehryar Mohri, Michael Riley, Afshin Rostamizadeh:
Sample Selection Bias Correction Theory. ALT 2008: 38-53 - [c30]Corinna Cortes, Mehryar Mohri:
Learning with Weighted Transducers. FSMNLP 2008: 14-22 - [c29]Corinna Cortes, Mehryar Mohri, Dmitry Pechyony, Ashish Rastogi:
Stability of transductive regression algorithms. ICML 2008: 176-183 - [i1]Corinna Cortes, Mehryar Mohri, Michael Riley, Afshin Rostamizadeh:
Sample Selection Bias Correction Theory. CoRR abs/0805.2775 (2008) - 2007
- [j9]Corinna Cortes, Mehryar Mohri, Ashish Rastogi:
LP Distance and Equivalence of Probabilistic Automata. Int. J. Found. Comput. Sci. 18(4): 761-779 (2007) - [c28]Corinna Cortes, Leonid Kontorovich, Mehryar Mohri:
Learning Languages with Rational Kernels. COLT 2007: 349-364 - [c27]Corinna Cortes, Mehryar Mohri, Ashish Rastogi:
Magnitude-preserving ranking algorithms. ICML 2007: 169-176 - [c26]Corinna Cortes, Mehryar Mohri, Ashish Rastogi:
An Alternative Ranking Problem for Search Engines. WEA 2007: 1-22 - 2006
- [c25]Leonid Kontorovich, Corinna Cortes, Mehryar Mohri:
Learning Linearly Separable Languages. ALT 2006: 288-303 - [c24]Corinna Cortes, Mehryar Mohri, Ashish Rastogi, Michael Riley:
Efficient Computation of the Relative Entropy of Probabilistic Automata. LATIN 2006: 323-336 - [c23]Corinna Cortes, Mehryar Mohri:
On Transductive Regression. NIPS 2006: 305-312 - [c22]Corinna Cortes, Mehryar Mohri, Ashish Rastogi:
On the Computation of Some Standard Distances Between Probabilistic Automata. CIAA 2006: 137-149 - 2005
- [j8]Corinna Cortes, Mehryar Mohri:
Moment Kernels for Regular Distributions. Mach. Learn. 60(1-3): 117-134 (2005) - [c21]Cynthia Rudin, Corinna Cortes, Mehryar Mohri, Robert E. Schapire:
Margin-Based Ranking Meets Boosting in the Middle. COLT 2005: 63-78 - [c20]Corinna Cortes, Mehryar Mohri, Jason Weston:
A general regression technique for learning transductions. ICML 2005: 153-160 - 2004
- [j7]Corinna Cortes, Patrick Haffner, Mehryar Mohri:
Rational Kernels: Theory and Algorithms. J. Mach. Learn. Res. 5: 1035-1062 (2004) - [j6]Corinna Cortes, Kathleen Fisher, Daryl Pregibon, Anne Rogers, Frederick Smith:
Hancock: A language for analyzing transactional data streams. ACM Trans. Program. Lang. Syst. 26(2): 301-338 (2004) - [c19]Corinna Cortes, Mehryar Mohri:
Distribution kernels based on moments of counts. ICML 2004 - [c18]Corinna Cortes, Mehryar Mohri:
Confidence Intervals for the Area Under the ROC Curve. NIPS 2004: 305-312 - 2003
- [c17]Corinna Cortes, Patrick Haffner, Mehryar Mohri:
Positive Definite Rational Kernels. COLT 2003: 41-56 - [c16]Corinna Cortes, Patrick Haffner, Mehryar Mohri:
Lattice kernels for spoken-dialog classification. ICASSP (1) 2003: 628-631 - [c15]Corinna Cortes, Patrick Haffner, Mehryar Mohri:
Weighted automata kernels - general framework and algorithms. INTERSPEECH 2003: 989-992 - [c14]Corinna Cortes, Mehryar Mohri:
AUC Optimization vs. Error Rate Minimization. NIPS 2003: 313-320 - 2002
- [j5]Corinna Cortes, Daryl Pregibon, Chris Volinsky:
Communities of interest. Intell. Data Anal. 6(3): 211-219 (2002) - [c13]Corinna Cortes, Patrick Haffner, Mehryar Mohri:
Rational Kernels. NIPS 2002: 601-608 - 2001
- [j4]Corinna Cortes, Daryl Pregibon:
Signature-Based Methods for Data Streams. Data Min. Knowl. Discov. 5(3): 167-182 (2001) - [c12]Corinna Cortes, Daryl Pregibon, Chris Volinsky:
Communities of Interest. IDA 2001: 105-114 - 2000
- [j3]Corinna Cortes, Mehryar Mohri:
Context-Free Recognition with Weighted Automata. Grammars 3(2/3): 133-150 (2000) - [c11]Corinna Cortes, Kathleen Fisher, Daryl Pregibon, Anne Rogers:
Hancock: a language for extracting signatures from data streams. KDD 2000: 9-17
1990 – 1999
- 1999
- [c10]William DuMouchel, Chris Volinsky, Theodore Johnson, Corinna Cortes, Daryl Pregibon:
Squashing Flat Files Flatter. KDD 1999: 6-15 - [c9]Corinna Cortes, Daryl Pregibon:
Information Mining Platforms: An Infrastructure for KDD Rapid Deployment. KDD 1999: 327-331 - 1998
- [c8]Corinna Cortes, Daryl Pregibon:
Giga-Mining. KDD 1998: 174-178 - 1995
- [j2]Corinna Cortes, Vladimir Vapnik:
Support-Vector Networks. Mach. Learn. 20(3): 273-297 (1995) - [c7]Corinna Cortes, Harris Drucker, Dennis Hoover, Vladimir Vapnik:
Capacity and Complexity Control in Predicting the Spread Between Borrowing and Lending Interest Rates. KDD 1995: 51-56 - [c6]Corinna Cortes, Lawrence D. Jackel, Wan-Ping Chiang:
Limits on Learning Machine Accuracy Imposed by Data Quality. KDD 1995: 57-62 - [c5]Harris Drucker, Corinna Cortes:
Boosting Decision Trees. NIPS 1995: 479-485 - 1994
- [j1]Harris Drucker, Corinna Cortes, Lawrence D. Jackel, Yann LeCun, Vladimir Vapnik:
Boosting and Other Ensemble Methods. Neural Comput. 6(6): 1289-1301 (1994) - [c4]Harris Drucker, Corinna Cortes, Lawrence D. Jackel, Yann LeCun, Vladimir Vapnik:
Boosting and Other Machine Learning Algorithms. ICML 1994: 53-61 - [c3]Léon Bottou, Corinna Cortes, John S. Denker, Harris Drucker, Isabelle Guyon, Larry D. Jackel, Yann LeCun, Urs A. Müller, Eduard Säckinger, Patrice Y. Simard, Vladimir Vapnik:
Comparison of classifier methods: a case study in handwritten digit recognition. ICPR (2) 1994: 77-82 - [c2]Corinna Cortes, Lawrence D. Jackel, Wan-Ping Chiang:
Limits in Learning Machine Accuracy Imposed by Data Quality. NIPS 1994: 239-246 - 1993
- [c1]Corinna Cortes, Lawrence D. Jackel, Sara A. Solla, Vladimir Vapnik, John S. Denker:
Learning Curves: Asymptotic Values and Rate of Convergence. NIPS 1993: 327-334
Coauthor Index
[j18] [j17] [c75] [c74] [i23] [i22] [i21] [c72] [c71] [c70] [c68] [c67] [c66] [i19] [i18] [i17] [i16] [j16] [j15] [c65] [c64] [c63] [c62] [c61] [c60] [i15] [i14] [c59] [c58] [i13] [c57] [i12] [c56] [c55] [c54] [i11] [i10] [c53] [c52] [c51] [c50] [i9] [j14] [c49] [c48] [c47] [i8] [c46] [c45] [i7] [j13] [c44] [i6] [i5] [i4] [j12] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c34] [c33] [c32] [i3] [i2] [j11] [j10] [c31] [c30] [c29] [i1] [j9] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [j8] [c21] [c20] [j7] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [j3]