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16 results on '"Rajawat, Ketan"'

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1. Optimized Gradient Tracking for Decentralized Online Learning

2. Sharpened Lazy Incremental Quasi-Newton Method

3. Low-complexity subspace-descent over symmetric positive definite manifold

4. FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning

5. Projection-Free Algorithm for Stochastic Bi-level Optimization

6. Zeroth and First Order Stochastic Frank-Wolfe Algorithms for Constrained Optimization

7. STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning

8. Stochastic Compositional Gradient Descent under Compositional Constraints

9. Sparse Representations of Positive Functions via First and Second-Order Pseudo-Mirror Descent

10. Practical Precoding via Asynchronous Stochastic Successive Convex Approximation

11. Conservative Stochastic Optimization with Expectation Constraints

12. Consistent Online Gaussian Process Regression Without the Sample Complexity Bottleneck

13. Parallel Restarted SPIDER -- Communication Efficient Distributed Nonconvex Optimization with Optimal Computation Complexity

14. Optimally Compressed Nonparametric Online Learning

15. Nonstationary Nonparametric Online Learning: Balancing Dynamic Regret and Model Parsimony

16. Online Learning over Dynamic Graphs via Distributed Proximal Gradient Algorithm

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