109 results on '"Rajawat, Ketan"'
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2. A Variance Reduced Nonconvex Stochastic Optimization Framework for Online Kernel Learning
3. On Submodular Set Cover Problems for Near-Optimal Online Kernel Basis Selection
4. Projected Pseudo-Mirror Descent in Reproducing Kernel Hilbert Space
5. Optimizing QoS for Erasure-Coded Wireless Data Centers
6. Momentum based Projection Free Stochastic Optimization Under Affine Constraints
7. Conservative Stochastic Optimization: $\mathcal{O}(T^{-1/2})$ Optimality Gap with Zero Constraint Violation
8. Zeroth and First Order Stochastic Frank-Wolfe Algorithms for Constrained Optimization.
9. Traffic Estimation and Prediction via Online Variational Bayesian Subspace Filtering.
10. Conservative Multi-agent Online Kernel Learning in Heterogeneous Networks
11. Adaptive Front-end for MIMO Radar with Dynamic Matrix Completion
12. Trading Dynamic Regret for Model Complexity in Nonstationary Nonparametric Optimization
13. Projection Free Dynamic Online Learning
14. SVR-Primal Dual Method of Multipliers (PDMM) for Large-Scale Problems
15. Escaping Saddle Points for Successive Convex Approximation.
16. Practical Precoding via Asynchronous Stochastic Successive Convex Approximation.
17. Distributed Online Learning over Time-varying Graphs via Proximal Gradient Descent
18. Constrained Non-convex Optimization via Stochastic Variance Reduced Approximations
19. Network Dissensus via Distributed ADMM
20. Model Free Calibration of Wheeled Robots Using Gaussian Process
21. Controlling the Bias-Variance Tradeoff via Coherent Risk for Robust Learning with Kernels
22. Decentralized Multi-Antenna Coded Caching with Cyclic Exchanges
23. Online Utility-Optimal Trajectory Design for Time-Varying Ocean Environments
24. Quality-of-Service Constrained User and Antenna Selection in Downlink Massive-MIMO Systems
25. Online Learning Over Dynamic Graphs via Distributed Proximal Gradient Algorithm.
26. Adaptive Network Latency Prediction From Noisy Measurements.
27. Joint User and Antenna Selection in Massive-MIMO Systems With QoS-Constraints.
28. Dynamic Online Learning via Frank-Wolfe Algorithm.
29. Nonparametric Compositional Stochastic Optimization for Risk-Sensitive Kernel Learning.
30. Optimally Compressed Nonparametric Online Learning: Tradeoffs between memory and consistency.
31. Modified Re-Iterated Kalman Filter for Handling Delayed and Lost Measurements in Power System State Estimation.
32. On Socially Optimal Traffic Flow in the Presence of Random Users
33. Asynchronous Saddle Point Method: Interference Management Through Pricing
34. EXACT NONPARAMETRIC DECENTRALIZED ONLINE OPTIMIZATION
35. Time Varying optimization via Inexact Proximal Online Gradient Descent
36. Decentralized Asynchronous Stochastic Gradient Descent: Convergence Rate Analysis
37. Dynamic Network Latency Prediction with Adaptive Matrix Completion
38. QOS-Based Antenna and User Selection in Large-Scale Fading for Massive-MIMO Systems
39. Adversarial Multi-Agent Target Tracking with Inexact Online Gradient Descent
40. Wireless network optimization via stochastic sub-gradient descent: Rate analysis
41. An Online Approach to D2D Trajectory Utility Maximization Problem
42. Dictionary learning based fingerprinting for indoor localization
43. Beyond consensus and synchrony in decentralized online optimization using saddle point method
44. Optimal utilization of storage systems under real-time pricing
45. Asynchronous resource allocation in distributed heterogeneous networks
46. Distributed asynchronous localization over WSNs via non-convex consensus ADMM
47. Optimal Design of Queuing Systems via Compositional Stochastic Programming.
48. Dictionary-Based Statistical Fingerprinting for Indoor Localization.
49. An Asynchronous Decentralized Forecasting-Aided State Estimator for Power Systems.
50. Asynchronous Saddle Point Algorithm for Stochastic Optimization in Heterogeneous Networks.
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