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Conference and Workshop Papers
- 2024
[c5]Parth Thaker, Vineet Sunil Gattani, Vignesh Tirukkonda, Pouria Saidi, Gautam Dasarathy:
Non-Stationary Bandits with Periodic Behavior: Harnessing Ramanujan Periodicity Transforms to Conquer Time-Varying Challenges. ICASSP 2024: 7790-7794- 2022
- [c4]Parth Thaker, Mohit Malu, Nikhil Rao, Gautam Dasarathy:
Maximizing and Satisficing in Multi-armed Bandits with Graph Information. NeurIPS 2022 - 2020
- [c3]John Janiczek, Parth Thaker, Gautam Dasarathy, Christopher S. Edwards, Philip Christensen, Suren Jayasuriya:
Differentiable Programming for Hyperspectral Unmixing Using a Physics-Based Dispersion Model. ECCV (27) 2020: 649-666 - [c2]Parth K. Thaker, Gautam Dasarathy, Angelia Nedic
:
On the Sample Complexity and Optimization Landscape for Quadratic Feasibility Problems. ISIT 2020: 1438-1443 - 2017
- [c1]Parth Thaker, Aditya Gopalan, Rahul Vaze:
When to arrive in a congested system: Achieving equilibrium via learning algorithm. WiOpt 2017: 1-8
Informal and Other Publications
- 2021
- [i3]Parth K. Thaker, Nikhil Rao, Mohit Malu, Gautam Dasarathy:
Pure Exploration in Multi-armed Bandits with Graph Side Information. CoRR abs/2108.01152 (2021) - 2020
- [i2]Parth Thaker, Gautam Dasarathy, Angelia Nedic:
On the Sample Complexity and Optimization Landscape for Quadratic Feasibility Problems. CoRR abs/2002.01066 (2020) - [i1]John Janiczek, Parth Thaker, Gautam Dasarathy, Christopher S. Edwards, Philip Christensen, Suren Jayasuriya:
Differentiable Programming for Hyperspectral Unmixing using a Physics-based Dispersion Model. CoRR abs/2007.05996 (2020)
Coauthor Index
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