227 citations · 246 across the 47 of their papers we have counts for
6 papers · 1 filter
Finite Resources False Discovery Rate Control in Structured Hypothesis Spaces
Binyamin Perets, Shie Mannor
Scientific discovery relies on large-scale hypothesis testing. However, the capacity to identify true discoveries while controlling false discovery faces major challenges: obtainin…
Efficient Fairness-Performance Pareto Front Computation
Mark Kozdoba, Binyamin Perets, Shie Mannor
There is a well known intrinsic trade-off between the fairness of a representation and the performance of classifiers derived from the representation. Due to the complexity of opti…
Sobolev Space Regularised Pre Density Models
Mark Kozdoba, Binyamin Perets, Shie Mannor
We propose a new approach to non-parametric density estimation that is based on regularizing a Sobolev norm of the density. This method is statistically consistent, and makes the i…
Learning Hidden Markov Models When the Locations of Missing Observations are Unknown
Binyamin Perets, Mark Kozdoba, Shie Mannor
The Hidden Markov Model (HMM) is one of the most widely used statistical models for sequential data analysis. One of the key reasons for this versatility is the ability of HMM to d…
A General Framework for Bandit Problems Beyond Cumulative Objectives
Asaf Cassel, Shie Mannor, Assaf Zeevi
The stochastic multi-armed bandit (MAB) problem is a common model for sequential decision problems. In the standard setup, a decision maker has to choose at every instant between s…
Off-policy evaluation for MDPs with unknown structure
Assaf Hallak, François Schnitzler, Timothy Mann +1
Off-policy learning in dynamic decision problems is essential for providing strong evidence that a new policy is better than the one in use. But how can we prove superiority withou…