Karthik Abinav Sankararaman
Karthik Abinav Sankararaman
Facebook, University of Maryland, College Park
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Title
Cited by
Cited by
Year
New algorithms, better bounds, and a novel model for online stochastic matching
B Brubach, KA Sankararaman, A Srinivasan, P Xu
24th Annual European Symposium on Algorithms (ESA 2016), 2016
41*2016
The impact of neural network overparameterization on gradient confusion and stochastic gradient descent
KA Sankararaman, S De, Z Xu, WR Huang, T Goldstein
Thirty-seventh International Conference on Machine Learning (ICML), 2020
36*2020
Allocation problems in ride-sharing platforms: Online matching with offline reusable resources
JP Dickerson, KA Sankararaman, A Srinivasan, P Xu
Proc. Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), 2018
342018
Adversarial bandits with knapsacks
N Immorlica, KA Sankararaman, R Schapire, A Slivkins
2019 IEEE 60th Annual Symposium on Foundations of Computer Science (FOCS …, 2019
252019
Ensuring privacy in location-based services: An approach based on opacity enforcement
YC Wu, KA Sankararaman, S Lafortune
IFAC Proceedings Volumes 47 (2), 33-38, 2014
222014
Combinatorial semi-bandits with knapsacks
KA Sankararaman, A Slivkins
International Conference on Artificial Intelligence and Statistics, 1760--1770, 2018
202018
Assigning tasks to workers based on historical data: Online task assignment with two-sided arrivals
JP Dickerson, KA Sankararaman, A Srinivasan, P Xu
International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2018
172018
Attenuate locally, win globally: Attenuation-based frameworks for online stochastic matching with timeouts
B Brubach, KA Sankararaman, A Srinivasan, P Xu
Algorithmica 82 (1), 64-87, 2020
142020
Balancing relevance and diversity in online bipartite matching via submodularity
JP Dickerson, KA Sankararaman, A Srinivasan, P Xu
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 1877-1884, 2019
122019
Balancing the tradeoff between profit and fairness in rideshare platforms during high-demand hours
V Nanda, P Xu, KA Sankararaman, J Dickerson, A Srinivasan
Proceedings of the AAAI Conference on Artificial Intelligence 34 (02), 2210-2217, 2020
72020
Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms During High-Demand Hours
V Nanda, P Xu, KA Sankararaman, JP Dickerson, A Srinivasan
Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 2020
72020
Algorithms to approximate column-sparse packing problems
B Brubach, KA Sankararaman, A Srinivasan, P Xu
ACM Transactions on Algorithms (TALG) 16 (1), 1-32, 2019
52019
Online resource allocation with matching constraints
J Dickerson, K Sankararaman, K Sarpatwar, A Srinivasan, KL Wu, P Xu
International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2019
42019
Bandits with Knapsacks beyond the Worst-Case Analysis
KA Sankararaman, A Slivkins
arXiv preprint arXiv:2002.00253, 2020
3*2020
Dominate or Delete: Decentralized Competing Bandits with Uniform Valuation
A Sankararaman, S Basu, KA Sankararaman
arXiv preprint arXiv:2006.15166, 2020
22020
Mix and match: Markov chains and mixing times for matching in rideshare
M Curry, JP Dickerson, KA Sankararaman, A Srinivasan, Y Wan, P Xu
International Conference on Web and Internet Economics, 129-141, 2019
22019
A Unified Approach to Online Matching with Conflict-Aware Constraints
P Xu, Y Shi, H Cheng, J Dickerson, KA Sankararaman, A Srinivasan, ...
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 2221-2228, 2019
22019
Stability of linear structural equation models of causal inference
KA Sankararaman, A Louis, N Goyal
Uncertainty in Artificial Intelligence, 323-333, 2019
22019
Robust Identifiability in Linear Structural Equation Models of Causal Inference
KA Sankararaman, A Louis, N Goyal
arXiv preprint arXiv:2007.06869, 2020
12020
Sequential Decision Making with Limited Resources
KA Sankararaman
University of Maryland, College Park, 2019
12019
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