Karthik Abinav Sankararaman

According to our database, Karthik Abinav Sankararaman authored at least 43 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Matching Tasks and Workers under Known Arrival Distributions: Online Task Assignment with Two-sided Arrivals.

John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu, Yifan Xu

ACM Trans. Economics and Comput., June, 2024

Multi-IF: Benchmarking LLMs on Multi-Turn and Multilingual Instructions Following.

Yun He, Di Jin, Chaoqi Wang, Chloe Bi, Karishma Mandyam, Hejia Zhang, Chen Zhu, Ning Li, Tengyu Xu, Hongjiang Lv, Shruti Bhosale, Chenguang Zhu, Karthik Abinav Sankararaman, Eryk Helenowski, Melanie Kambadur, Aditya Tayade, Hao Ma, Han Fang, Sinong Wang

CoRR, 2024

Preference Optimization with Multi-Sample Comparisons.

Chaoqi Wang, Zhuokai Zhao, Chen Zhu, Karthik Abinav Sankararaman, Michal Valko, Xuefei Cao, Zhaorun Chen, Madian Khabsa, Yuxin Chen, Hao Ma, Sinong Wang

CoRR, 2024

The Perfect Blend: Redefining RLHF with Mixture of Judges.

Tengyu Xu, Eryk Helenowski, Karthik Abinav Sankararaman, Di Jin, Kaiyan Peng, Eric Han, Shaoliang Nie, Chen Zhu, Hejia Zhang, Wenxuan Zhou, Zhouhao Zeng, Yun He, Karishma Mandyam, Arya Talabzadeh, Madian Khabsa, Gabriel Cohen, Yuandong Tian, Hao Ma, Sinong Wang, Han Fang

CoRR, 2024

Effective Long-Context Scaling of Foundation Models.

Wenhan Xiong, Jingyu Liu, Igor Molybog, Hejia Zhang, Prajjwal Bhargava, Rui Hou, Louis Martin, Rashi Rungta, Karthik Abinav Sankararaman, Barlas Oguz, Madian Khabsa, Han Fang, Yashar Mehdad, Sharan Narang, Kshitiz Malik, Angela Fan, Shruti Bhosale, Sergey Edunov, Mike Lewis, Sinong Wang, Hao Ma

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Promoting External and Internal Equities Under Ex-Ante/Ex-Post Metrics in Online Resource Allocation.

Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Matching algorithms for blood donation.

Duncan C. McElfresh, Christian Kroer, Sergey Pupyrev, Eric Sodomka, Karthik Abinav Sankararaman, Zack Chauvin, Neil Dexter, John P. Dickerson

Nat. Mac. Intell., October, 2023

On the Equivalence of Graph Convolution and Mixup.

Xiaotian Han, Hanqing Zeng, Yu Chen, Shaoliang Nie, Jingzhou Liu, Kanika Narang, Zahra Shakeri, Karthik Abinav Sankararaman, Song Jiang, Madian Khabsa, Qifan Wang, Xia Hu

CoRR, 2023

Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial?

Fan Yao, Chuanhao Li, Karthik Abinav Sankararaman, Yiming Liao, Yan Zhu, Qifan Wang, Hongning Wang, Haifeng Xu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Contextual Bandits with Packing and Covering Constraints: A Modular Lagrangian Approach via Regression.

Aleksandrs Slivkins, Karthik Abinav Sankararaman, Dylan J. Foster

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

Allocation Problem in Remote Teleoperation: Online Matching with Offline Reusable Resources and Delayed Assignments.

Osnat Ackerman Viden, Yohai Trabelsi, Pan Xu, Karthik Abinav Sankararaman, Oleg Maksimov, Sarit Kraus

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Online minimum matching with uniform metric and random arrivals.

Sharmila V. S. Duppala, Karthik Abinav Sankararaman, Pan Xu

Oper. Res. Lett., 2022

Adversarial Bandits with Knapsacks.

Nicole Immorlica, Karthik Abinav Sankararaman, Robert E. Schapire, Aleksandrs Slivkins

J. ACM, 2022

Improved Adaptive Algorithm for Scalable Active Learning with Weak Labeler.

Yifang Chen, Karthik Abinav Sankararaman, Alessandro Lazaric, Matteo Pirotta, Dmytro Karamshuk, Qifan Wang, Karishma Mandyam, Sinong Wang, Han Fang

CoRR, 2022

BayesFormer: Transformer with Uncertainty Estimation.

Karthik Abinav Sankararaman, Sinong Wang, Han Fang

CoRR, 2022

Robust identifiability in linear structural equation models of causal inference.

Karthik Abinav Sankararaman, Anand Louis, Navin Goyal

Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021

Allocation Problems in Ride-sharing Platforms: Online Matching with Offline Reusable Resources.

John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu

ACM Trans. Economics and Comput., 2021

Stochastic bandits for multi-platform budget optimization in online advertising.

Vashist Avadhanula, Riccardo Colini-Baldeschi, Stefano Leonardi, Karthik Abinav Sankararaman, Okke Schrijvers

Proceedings of the WWW '21: The Web Conference 2021, 2021

Bandits with Knapsacks beyond the Worst Case.

Karthik Abinav Sankararaman, Aleksandrs Slivkins

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Beyond log²(T) regret for decentralized bandits in matching markets.

Soumya Basu, Karthik Abinav Sankararaman, Abishek Sankararaman

Proceedings of the 38th International Conference on Machine Learning, 2021

Multi-Armed Bandits with Cost Subsidy.

Deeksha Sinha, Karthik Abinav Sankararaman, Abbas Kazerouni, Vashist Avadhanula

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Dominate or Delete: Decentralized Competing Bandits in Serial Dictatorship.

Abishek Sankararaman, Soumya Basu, Karthik Abinav Sankararaman

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Algorithms to Approximate Column-sparse Packing Problems.

Brian Brubach, Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu

ACM Trans. Algorithms, 2020

Improved Approximation Algorithms for Stochastic-Matching Problems.

Marek Adamczyk, Brian Brubach, Fabrizio Grandoni, Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu

CoRR, 2020

Dominate or Delete: Decentralized Competing Bandits with Uniform Valuation.

Abishek Sankararaman, Soumya Basu, Karthik Abinav Sankararaman

CoRR, 2020

Advances in Bandits with Knapsacks.

Karthik Abinav Sankararaman, Aleksandrs Slivkins

CoRR, 2020

Online Stochastic Matching: New Algorithms and Bounds.

Brian Brubach, Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu

Algorithmica, 2020

Attenuate Locally, Win Globally: Attenuation-Based Frameworks for Online Stochastic Matching with Timeouts.

Brian Brubach, Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu

Algorithmica, 2020

The Impact of Neural Network Overparameterization on Gradient Confusion and Stochastic Gradient Descent.

Karthik Abinav Sankararaman, Soham De, Zheng Xu, W. Ronny Huang, Tom Goldstein

Proceedings of the 37th International Conference on Machine Learning, 2020

Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms during High-Demand Hours.

Vedant Nanda, Pan Xu, Karthik Abinav Sankararaman, John P. Dickerson, Aravind Srinivasan

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Sequential Decision Making with Limited Resources.

Karthik Abinav Sankararaman

PhD thesis, 2019

Mix and Match: Markov Chains & Mixing Times for Matching in Rideshare.

Michael J. Curry, John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Yuhao Wan, Pan Xu

CoRR, 2019

Mix and Match: Markov Chains and Mixing Times for Matching in Rideshare.

Michael J. Curry, John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Yuhao Wan, Pan Xu

Proceedings of the Web and Internet Economics - 15th International Conference, 2019

Stability of Linear Structural Equation Models of Causal Inference.

Karthik Abinav Sankararaman, Anand Louis, Navin Goyal

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Online Resource Allocation with Matching Constraints.

John P. Dickerson, Karthik Abinav Sankararaman, Kanthi Kiran Sarpatwar, Aravind Srinivasan, Kun-Lung Wu, Pan Xu

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

A Unified Approach to Online Matching with Conflict-Aware Constraints.

Pan Xu, Yexuan Shi, Hao Cheng, John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Yongxin Tong, Leonidas Tsepenekas

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Balancing Relevance and Diversity in Online Bipartite Matching via Submodularity.

John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Assigning Tasks to Workers based on Historical Data: Online Task Assignment with Two-sided Arrivals.

John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Combinatorial Semi-Bandits with Knapsacks.

Karthik Abinav Sankararaman, Aleksandrs Slivkins

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Semi-Bandits with Knapsacks.

Karthik Abinav Sankararaman, Aleksandrs Slivkins

CoRR, 2017

Attenuate Locally, Win Globally: An Attenuation-based Framework for Online Stochastic Matching with Timeouts.

Brian Brubach, Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu

Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

2016

New Algorithms, Better Bounds, and a Novel Model for Online Stochastic Matching.

Brian Brubach, Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu

Proceedings of the 24th Annual European Symposium on Algorithms, 2016

2014

Ensuring Privacy in Location-Based Services: An Approach Based on Opacity Enforcement.

Yi-Chin Wu, Karthik Abinav Sankararaman, Stéphane Lafortune

Proceedings of the 12th International Workshop on Discrete Event Systems, 2014