10 citations · 11 across the 2 of their papers we have counts for
5 papers
Rare Gems: Finding Lottery Tickets at Initialization
Kartik Sreenivasan, Jy-yong Sohn, Liu Yang +6
Large neural networks can be pruned to a small fraction of their original size, with little loss in accuracy, by following a time-consuming "train, prune, re-train" approach. Frank…
Testing Piecewise Functions
Steve Hanneke, Liu Yang
This work explores the query complexity of property testing for general piecewise functions on the real line, in the active and passive property testing settings. The results are p…
Learning with Changing Features
Amit Dhurandhar, Steve Hanneke, Liu Yang
In this paper we study the setting where features are added or change interpretation over time, which has applications in multiple domains such as retail, manufacturing, finance. I…
Statistical Learning under Nonstationary Mixing Processes
Steve Hanneke, Liu Yang
We study a special case of the problem of statistical learning without the i.i.d. assumption. Specifically, we suppose a learning method is presented with a sequence of data points…
Bounds on the Minimax Rate for Estimating a Prior over a VC Class from Independent Learning Tasks
Liu Yang, Steve Hanneke, Jaime Carbonell
We study the optimal rates of convergence for estimating a prior distribution over a VC class from a sequence of independent data sets respectively labeled by independent target fu…