Efficient Approximation Algorithms for Minimum Enclosing Convex Shapes - Ankan Saha; S. V. N. Vishwanathan (CoRR, 2009)

Lower Bounds for BMRM and Faster Rates for Training SVMs - Ankan Saha; Xinhua Zhang; S. V. N. Vishwanathan (CoRR, 2009)

Lower Bounds on Rate of Convergence of Cutting Plane Methods. - Xinhua Zhang; Ankan Saha; S. V. N. Vishwanathan (NIPS, 2010)

Faster Rates for training Max-Margin Markov Networks - Xinhua Zhang; Ankan Saha; S. V. N. Vishwanathan (CoRR, 2010)

On the Finite Time Convergence of Cyclic Coordinate Descent Methods - Ankan Saha; Ambuj Tewari (CoRR, 2010)

Regularized Risk Minimization by Nesterov's Accelerated Gradient Methods: Algorithmic Extensions and Empirical Studies - Xinhua Zhang; Ankan Saha; S. V. N. Vishwanathan (CoRR, 2010)

New Approximation Algorithms for Minimum Enclosing Convex Shapes. - Ankan Saha; S. V. N. Vishwanathan; Xinhua Zhang (SODA, 2011)

Improved Regret Guarantees for Online Smooth Convex Optimization with Bandit Feedback. - Ankan Saha; Ambuj Tewari (AISTATS, 2011)

Learning evolving and emerging topics in social media: a dynamic nmf approach with temporal regularization. - Ankan Saha; Vikas Sindhwani (WSDM, 2012)

The Interplay Between Stability and Regret in Online Learning - Ankan Saha; Prateek Jain 002; Ambuj Tewari (CoRR, 2012)

Smoothing multivariate performance measures. - Xinhua Zhang; Ankan Saha; S. V. N. Vishwanathan (J. Mach. Learn. Res., 2012)

On the Nonasymptotic Convergence of Cyclic Coordinate Descent Methods. - Ankan Saha; Ambuj Tewari (SIAM J. Optim., 2013)

Accelerated training of max-margin Markov networks with kernels. - Xinhua Zhang; Ankan Saha; S. V. N. Vishwanathan (Theor. Comput. Sci., 2014)

Large-Scale Quadratically Constrained Quadratic Program via Low-Discrepancy Sequences. - Kinjal Basu 001; Ankan Saha; Shaunak Chatterjee (NIPS, 2017)

Generalized Mixed Effect Models for Personalizing Job Search. - Ankan Saha; Dhruv Arya (SIGIR, 2017)

Using AI to build communities around interests on LinkedIn. - Abdulla Al-Qawasmeh; Ankan Saha (RecSys, 2019)

Edge formation in Social Networks to Nurture Content Creators. - Chun Lo; Emilie de Longueau; Ankan Saha; Shaunak Chatterjee (WWW, 2020)

Predicting Potentially Undetectable Flows in DPI System using Machine Learning. - Ankan Saha; Uday Trivedi; S. Varun (ANTS, 2021)

RecWork: Workshop on Recommender Systems for the Future of Work. - Joseph A. Konstan; Ajith Muralidharan; Ankan Saha; Shilad Sen; Mengting Wan; Longqi Yang (RecSys, 2022)

Optimizing for Member Value in an Edge Building Marketplace. - Ayan Acharya; Siyuan Gao; Ankan Saha; Borja Ocejo; Kinjal Basu 001; Sathiya Keerthi Selvaraj; Rahul Mazumder; Aman Gupta; Parag Agrawal (CIKM, 2023)

Promoting Inactive Members in Edge-Building Marketplace. - Ayan Acharya; Siyuan Gao; Borja Ocejo; Kinjal Basu 001; Ankan Saha; Sathiya Keerthi Selvaraj; Rahul Mazumder; Parag Agrawal; Aman Gupta (WWW (Companion Volume), 2023)

Efficient Algorithms for Leveraging LLMs for Generative and Predictive Recommender Systems. - Kayhan Behdin; Yun Dai; Gregory Dexter; Aman Gupta; Rahul Mazumder; Ankan Saha; Qingquan Song; Shao Tang; Sirou Zhu; Pin-Lun Hsu (WWW (Companion Volume), 2025)

AlphaPO - Reward shape matters for LLM alignment. - Aman Gupta; Shao Tang; Qingquan Song; Sirou Zhu; Jiwoo Hong; Ankan Saha; Viral Gupta; Noah Lee; Eunki Kim; Jason Zhu; Natesh Pillai; S. Sathiya Keerthi (CoRR, 2025)