Tinashe Handina

According to our database, Tinashe Handina authored at least 7 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Plan for the Worst with Advice: Advice-augmented Robust Markov Decision Processes.

Tinashe Handina, Kishan Panaganti, Eric Mazumdar, Adam Wierman

Proceedings of the 64th IEEE Conference on Decision and Control, 2025

2024

Rethinking Scaling Laws for Learning in Strategic Environments.

Tinashe Handina, Eric Mazumdar

CoRR, 2024

Safe Exploitative Play with Untrusted Type Beliefs.

Tongxin Li, Tinashe Handina, Shaolei Ren, Adam Wierman

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Understanding Model Selection for Learning in Strategic Environments.

Tinashe Handina, Eric Mazumdar

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2022

Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?

Vikash Sehwag, Saeed Mahloujifar, Tinashe Handina, Sihui Dai, Chong Xiang, Mung Chiang, Prateek Mittal

Proceedings of the Tenth International Conference on Learning Representations, 2022

Chasing Convex Bodies and Functions with Black-Box Advice.

Nicolas Christianson, Tinashe Handina, Adam Wierman

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

2021

Improving Adversarial Robustness Using Proxy Distributions.

Vikash Sehwag, Saeed Mahloujifar, Tinashe Handina, Sihui Dai, Chong Xiang, Mung Chiang, Prateek Mittal

CoRR, 2021