10 citations · 47 across the 14 of their papers we have counts for
3 papers · 1 filter
Fairness Uncertainty Quantification: How certain are you that the model is fair?
Abhishek Roy, Prasant Mohapatra
Fairness-aware machine learning has garnered significant attention in recent years because of extensive use of machine learning in sensitive applications like judiciary systems. Va…
Escaping Saddle-Points Faster under Interpolation-like Conditions
Abhishek Roy, Krishnakumar Balasubramanian, Saeed Ghadimi +1
In this paper, we show that under over-parametrization several standard stochastic optimization algorithms escape saddle-points and converge to local-minimizers much faster. One of…
Multi-Point Bandit Algorithms for Nonstationary Online Nonconvex Optimization
Abhishek Roy, Krishnakumar Balasubramanian, Saeed Ghadimi +1
Bandit algorithms have been predominantly analyzed in the convex setting with function-value based stationary regret as the performance measure. In this paper, motivated by online…