90 citations · 470 across the 39 of their papers we have counts for
14 papers · 1 filter
Stochastic Mirror Descent in Average Ensemble Models
Taylan Kargin, Fariborz Salehi, Babak Hassibi
The stochastic mirror descent (SMD) algorithm is a general class of training algorithms, which includes the celebrated stochastic gradient descent (SGD), as a special case. It util…
Explicit Regularization via Regularizer Mirror Descent
Navid Azizan, Sahin Lale, Babak Hassibi
Despite perfectly interpolating the training data, deep neural networks (DNNs) can often generalize fairly well, in part due to the "implicit regularization" induced by the learnin…
How to Query An Oracle? Efficient Strategies to Label Data
Farshad Lahouti, Victoria Kostina, Babak Hassibi
We consider the basic problem of querying an expert oracle for labeling a dataset in machine learning. This is typically an expensive and time consuming process and therefore, we s…
Finite-time System Identification and Adaptive Control in Autoregressive Exogenous Systems
Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi +1
Autoregressive exogenous (ARX) systems are the general class of input-output dynamical systems used for modeling stochastic linear dynamical systems (LDS) including partially obser…
Regret-optimal Estimation and Control
Gautam Goel, Babak Hassibi
We consider estimation and control in linear time-varying dynamical systems from the perspective of regret minimization. Unlike most prior work in this area, we focus on the proble…
Stability and Identification of Random Asynchronous Linear Time-Invariant Systems
Sahin Lale, Oguzhan Teke, Babak Hassibi +1
In many computational tasks and dynamical systems, asynchrony and randomization are naturally present and have been considered as ways to increase the speed and reduce the cost of…