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2020 – today
- 2023
[c14]Ayan Acharya
, Siyuan Gao, Ankan Saha, Borja Ocejo, Kinjal Basu, Sathiya Keerthi Selvaraj, Rahul Mazumder, Aman Gupta, Parag Agrawal:
Optimizing for Member Value in an Edge Building Marketplace. CIKM 2023: 5-14- [c13]Ayan Acharya, Siyuan Gao, Borja Ocejo, Kinjal Basu, Ankan Saha, Sathiya Keerthi Selvaraj, Rahul Mazumder, Parag Agrawal, Aman Gupta:
Promoting Inactive Members in Edge-Building Marketplace. WWW (Companion Volume) 2023: 945-949 - 2022
- [c12]Joseph A. Konstan, Ajith Muralidharan, Ankan Saha, Shilad Sen, Mengting Wan, Longqi Yang:
RecWork: Workshop on Recommender Systems for the Future of Work. RecSys 2022: 675-677 - 2021
- [c11]Ankan Saha, Uday Trivedi, S. Varun:
Predicting Potentially Undetectable Flows in DPI System using Machine Learning. ANTS 2021: 131-136 - 2020
- [c10]Chun Lo, Emilie de Longueau, Ankan Saha, Shaunak Chatterjee:
Edge formation in Social Networks to Nurture Content Creators. WWW 2020: 1999-2008
2010 – 2019
- 2019
- [c9]Abdulla Al-Qawasmeh, Ankan Saha:
Using AI to build communities around interests on LinkedIn. RecSys 2019: 521 - 2017
- [c8]Kinjal Basu, Ankan Saha, Shaunak Chatterjee:
Large-Scale Quadratically Constrained Quadratic Program via Low-Discrepancy Sequences. NIPS 2017: 2297-2307 - [c7]Ankan Saha, Dhruv Arya:
Generalized Mixed Effect Models for Personalizing Job Search. SIGIR 2017: 1129-1132 - 2014
- [j3]Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan:
Accelerated training of max-margin Markov networks with kernels. Theor. Comput. Sci. 519: 88-102 (2014) - 2013
- [j2]Ankan Saha, Ambuj Tewari:
On the Nonasymptotic Convergence of Cyclic Coordinate Descent Methods. SIAM J. Optim. 23(1): 576-601 (2013) - 2012
- [j1]Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan:
Smoothing multivariate performance measures. J. Mach. Learn. Res. 13: 3623-3680 (2012) - [c6]Ankan Saha, Vikas Sindhwani:
Learning evolving and emerging topics in social media: a dynamic nmf approach with temporal regularization. WSDM 2012: 693-702 - [i7]Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan:
Smoothing Multivariate Performance Measures. CoRR abs/1202.3776 (2012) - [i6]Ankan Saha, Prateek Jain, Ambuj Tewari:
The Interplay Between Stability and Regret in Online Learning. CoRR abs/1211.6158 (2012) - 2011
- [c5]Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan:
Accelerated Training of Max-Margin Markov Networks with Kernels. ALT 2011: 292-307 - [c4]Ankan Saha, S. V. N. Vishwanathan, Xinhua Zhang:
New Approximation Algorithms for Minimum Enclosing Convex Shapes. SODA 2011: 1146-1160 - [c3]Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan:
Smoothing Multivariate Performance Measures. UAI 2011: 814-821 - [c2]Ankan Saha, Ambuj Tewari:
Improved Regret Guarantees for Online Smooth Convex Optimization with Bandit Feedback. AISTATS 2011: 636-642 - 2010
- [c1]Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan:
Lower Bounds on Rate of Convergence of Cutting Plane Methods. NIPS 2010: 2541-2549 - [i5]Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan:
Faster Rates for training Max-Margin Markov Networks. CoRR abs/1003.1354 (2010) - [i4]Ankan Saha, Ambuj Tewari:
On the Finite Time Convergence of Cyclic Coordinate Descent Methods. CoRR abs/1005.2146 (2010) - [i3]Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan:
Regularized Risk Minimization by Nesterov's Accelerated Gradient Methods: Algorithmic Extensions and Empirical Studies. CoRR abs/1011.0472 (2010)
2000 – 2009
- 2009
- [i2]Ankan Saha, S. V. N. Vishwanathan:
Efficient Approximation Algorithms for Minimum Enclosing Convex Shapes. CoRR abs/0909.1062 (2009) - [i1]Ankan Saha, Xinhua Zhang, S. V. N. Vishwanathan:
Lower Bounds for BMRM and Faster Rates for Training SVMs. CoRR abs/0909.1334 (2009)
Coauthor Index
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