4 papers · 1 filter
A Simple Reduction Scheme for Constrained Contextual Bandits with Adversarial Contexts via Regression
Dhruv Sarkar, Abhishek Sinha
We study constrained contextual bandits (CCB) with adversarially chosen contexts, where each action yields a random reward and incurs a random cost. We adopt the standard realizabi…
Zero-shot Active Learning Using Self Supervised Learning
Abhishek Sinha, Shreya Singh
Deep learning algorithms are often said to be data hungry. The performance of such algorithms generally improve as more and more annotated data is fed into the model. While collect…
Confidence Is All You Need for MI Attacks
Abhishek Sinha, Himanshi Tibrewal, Mansi Gupta +2
In this evolving era of machine learning security, membership inference attacks have emerged as a potent threat to the confidentiality of sensitive data. In this attack, adversarie…
-Fair Contextual Bandits
Siddhant Chaudhary, Abhishek Sinha
Contextual bandit algorithms are at the core of many applications, including recommender systems, clinical trials, and optimal portfolio selection. One of the most popular problems…