Sankararaman, Karthik Abinav

16 publications

ICML 2025 Think Smarter Not Harder: Adaptive Reasoning with Inference Aware Optimization Zishun Yu, Tengyu Xu, Di Jin, Karthik Abinav Sankararaman, Yun He, Wenxuan Zhou, Zhouhao Zeng, Eryk Helenowski, Chen Zhu, Sinong Wang, Hao Ma, Han Fang

ICLRW 2025 Think Smarter Not Harder: Adaptive Reasoning with Inference Aware Optimization Zishun Yu, Tengyu Xu, Di Jin, Karthik Abinav Sankararaman, Yun He, Wenxuan Zhou, Zhouhao Zeng, Eryk Helenowski, Chen Zhu, Sinong Wang, Hao Ma, Han Fang

JMLR 2024 Contextual Bandits with Packing and Covering Constraints: A Modular Lagrangian Approach via Regression Aleksandrs Slivkins, Xingyu Zhou, Karthik Abinav Sankararaman, Dylan J. Foster

TMLR 2024 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

ICML 2024 Promoting External and Internal Equities Under Ex-Ante/Ex-Post Metrics in Online Resource Allocation Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu

COLT 2023 Contextual Bandits with Packing and Covering Constraints: A Modular Lagrangian Approach via Regression Aleksandrs Slivkins, Karthik Abinav Sankararaman, Dylan J Foster

NeurIPS 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

ICMLW 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

NeurIPS 2021 Bandits with Knapsacks Beyond the Worst Case Karthik Abinav Sankararaman, Aleksandrs Slivkins

ICML 2021 Beyond $log^2(T)$ Regret for Decentralized Bandits in Matching Markets Soumya Basu, Karthik Abinav Sankararaman, Abishek Sankararaman

AAAI 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

ICML 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

AAAI 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

AAAI 2019 Balancing Relevance and Diversity in Online Bipartite Matching via Submodularity John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu

AAAI 2018 Allocation Problems in Ride-Sharing Platforms: Online Matching with Offline Reusable Resources John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu

AISTATS 2018 Combinatorial Semi-Bandits with Knapsacks Karthik Abinav Sankararaman, Aleksandrs Slivkins