Karthik Sridharan

Prof Assoc
Computer Science DEPT · BCIS

Karthik Sridharan serves as Associate Professor in Computer Science at Cornell University.

115 publications
4,333 citations
28 h-index
Decision Sciences
Recent Papers (24)
2026-06-18 · ArXiv.org · Artificial Intelligence
Predictability as a Fine-Grained Measure for Privacy
Karthik SridharanProf Assoc, Computer Science DEPT · BCIS
2026-03-11 · arXiv (Cornell University) · Statistics and Probability
On the Robustness of Langevin Dynamics to Score Function Error
Karthik SridharanProf Assoc, Computer Science DEPT · BCIS
Yuchen WuProf Asst, Operations Research & Info Eng DEPT · EN
2022-01-25
Small-Loss Bounds for Online Learning with Partial Information
Karthik SridharanProf Assoc, Computer Science DEPT · BCIS
2021-12-06
SGD: The Role of Implicit Regularization, Batch-size and Multiple-epochs
Karthik SridharanProf Assoc, Computer Science DEPT · BCIS
2021-07-11
SGD: The Role of Implicit Regularization, Batch-size and Multiple-epochs
Karthik SridharanProf Assoc, Computer Science DEPT · BCIS
2020-12-03
Online learning with dynamics: A minimax perspective
Karthik SridharanProf Assoc, Computer Science DEPT · BCIS
2020-06-24
Second-Order Information in Non-Convex Stochastic Optimization: Power and Limitations
Karthik SridharanProf Assoc, Computer Science DEPT · BCIS
2020-05-07
Reinforcement Learning with Feedback Graphs
Karthik SridharanProf Assoc, Computer Science DEPT · BCIS
2019-04-09
Hypothesis Set Stability and Generalization
Karthik SridharanProf Assoc, Computer Science DEPT · BCIS
2019-02-28
Distributed Learning with Sublinear Communication
Jayadev AcharyaProf Assoc, Electrical and Computer Engr DEPT · EN
Karthik SridharanProf Assoc, Computer Science DEPT · BCIS
2019-02-13
The Complexity of Making the Gradient Small in Stochastic Convex Optimization
Karthik SridharanProf Assoc, Computer Science DEPT · BCIS
2019-01-01
Hypothesis Set Stability and Generalization
Karthik SridharanProf Assoc, Computer Science DEPT · BCIS
2018-10-25
Uniform Convergence of Gradients for Non-Convex Learning and Optimization
Karthik SridharanProf Assoc, Computer Science DEPT · BCIS
2018-06-29
Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints
Karthik SridharanProf Assoc, Computer Science DEPT · BCIS
2018-04-17
Two-Player Games for Efficient Non-Convex Constrained Optimization
Karthik SridharanProf Assoc, Computer Science DEPT · BCIS
2018-03-20
Online Learning: Sufficient Statistics and the Burkholder Method
Karthik SridharanProf Assoc, Computer Science DEPT · BCIS
2017-12-30
Parameter-free online learning via model selection
Karthik SridharanProf Assoc, Computer Science DEPT · BCIS
2017-03-08
Inference in Sparse Graphs with Pairwise Measurements and Side Information
Karthik SridharanProf Assoc, Computer Science DEPT · BCIS
2017-02-04
Empirical entropy, minimax regret and minimax risk
Karthik SridharanProf Assoc, Computer Science DEPT · BCIS
2016-02-06
BISTRO: An Efficient Relaxation-Based Method for Contextual Bandits
Karthik SridharanProf Assoc, Computer Science DEPT · BCIS
2015-12-17
Inferring the Causal Direction Privately
Karthik SridharanProf Assoc, Computer Science DEPT · BCIS
2015-12-17
Private Causal Inference
Karthik SridharanProf Assoc, Computer Science DEPT · BCIS
2015-08-21
Adaptive Online Learning
Karthik SridharanProf Assoc, Computer Science DEPT · BCIS
2010-06-06
Online Learning via Sequential Complexities
Karthik SridharanProf Assoc, Computer Science DEPT · BCIS