Ankan Saha

27 papers A* 4A 6B 1Journal 11Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
AlphaPO - Reward shape matters for LLM alignment.
CoRR
Aman Gupta, Shao Tang, Qingquan Song, Sirou Zhu, Jiwoo Hong, Ankan Saha, Viral Gupta, Noah Lee, Eunki Kim, Jason Zhu, Natesh S. Pillai, S. Sathiya Keerthi
2025 A* conf
AlphaPO: Reward Shape Matters for LLM Alignment.
ICML
Aman Gupta, Shao Tang, Qingquan Song, Sirou Zhu, Jiwoo Hong, Ankan Saha, Viral Gupta, Noah Lee, Eunki Kim, Siyu Zhu, Parag Agrawal, Natesh S. Pillai, S. Sathiya Keerthi
2025 — conf
Efficient Algorithms for Leveraging LLMs for Generative and Predictive Recommender Systems.
WWW (Companion Volume)
Kayhan Behdin, Yun Dai, Gregory Dexter, Aman Gupta, Rahul Mazumder, Ankan Saha, Qingquan Song, Shao Tang, Sirou Zhu, Pin-Lun Hsu
2023 A conf
Optimizing for Member Value in an Edge Building Marketplace.
CIKM
Ayan Acharya, Siyuan Gao, Ankan Saha, Borja Ocejo, Kinjal Basu, Sathiya Keerthi Selvaraj, Rahul Mazumder, Aman Gupta, Parag Agrawal
2023 — conf
Promoting Inactive Members in Edge-Building Marketplace.
WWW (Companion Volume)
Ayan Acharya, Siyuan Gao, Borja Ocejo, Kinjal Basu, Ankan Saha, Sathiya Keerthi Selvaraj, Rahul Mazumder, Parag Agrawal, Aman Gupta
2022 A conf
RecWork: Workshop on Recommender Systems for the Future of Work.
RecSys
Joseph A. Konstan, Ajith Muralidharan, Ankan Saha, Shilad Sen, Mengting Wan, Longqi Yang
2021 — conf
Predicting Potentially Undetectable Flows in DPI System using Machine Learning.
ANTS
Ankan Saha, Uday Trivedi, S. Varun
2020 A* conf
Edge formation in Social Networks to Nurture Content Creators.
WWW
Chun Lo, Emilie de Longueau, Ankan Saha, Shaunak Chatterjee
2019 A conf
Using AI to build communities around interests on LinkedIn.
RecSys
Abdulla Al-Qawasmeh, Ankan Saha
2017 A* conf
Generalized Mixed Effect Models for Personalizing Job Search.
SIGIR
Ankan Saha, Dhruv Arya
2017 — conf
Large-Scale Quadratically Constrained Quadratic Program via Low-Discrepancy Sequences.
NIPS
Kinjal Basu, Ankan Saha, Shaunak Chatterjee
2014 J jnl
Accelerated training of max-margin Markov networks with kernels.
Theor. Comput. Sci.
Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan
2013 J jnl
On the Nonasymptotic Convergence of Cyclic Coordinate Descent Methods.
SIAM J. Optim.
Ankan Saha, Ambuj Tewari
2012 A conf
Learning evolving and emerging topics in social media: a dynamic nmf approach with temporal regularization.
WSDM
Ankan Saha, Vikas Sindhwani
2012 J jnl
Smoothing Multivariate Performance Measures
CoRR
Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan
2012 J jnl
Smoothing multivariate performance measures.
J. Mach. Learn. Res.
Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan
2012 J jnl
The Interplay Between Stability and Regret in Online Learning
CoRR
Ankan Saha, Prateek Jain, Ambuj Tewari
2011 B conf
Accelerated Training of Max-Margin Markov Networks with Kernels.
ALT
Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan
2011 A conf
Improved Regret Guarantees for Online Smooth Convex Optimization with Bandit Feedback.
AISTATS
Ankan Saha, Ambuj Tewari
2011 A* conf
New Approximation Algorithms for Minimum Enclosing Convex Shapes.
SODA
Ankan Saha, S. V. N. Vishwanathan, Xinhua Zhang
2011 A conf
Smoothing Multivariate Performance Measures.
UAI
Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan
2010 J jnl
Faster Rates for training Max-Margin Markov Networks
CoRR
Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan
2010 — conf
Lower Bounds on Rate of Convergence of Cutting Plane Methods.
NIPS
Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan
2010 J jnl
On the Finite Time Convergence of Cyclic Coordinate Descent Methods
CoRR
Ankan Saha, Ambuj Tewari
2010 J jnl
Regularized Risk Minimization by Nesterov's Accelerated Gradient Methods: Algorithmic Extensions and Empirical Studies
CoRR
Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan
2009 J jnl
Efficient Approximation Algorithms for Minimum Enclosing Convex Shapes
CoRR
Ankan Saha, S. V. N. Vishwanathan
2009 J jnl
Lower Bounds for BMRM and Faster Rates for Training SVMs
CoRR
Ankan Saha, Xinhua Zhang, S. V. N. Vishwanathan