We present new insights and a novel paradigm (StEik) for learning implic...
We study the problem of PAC learning a single neuron in the presence of
...
We establish optimal Statistical Query (SQ) lower bounds for robustly
le...
We discover restrained numerical instabilities in current training pract...
We study the problem of learning Ising models satisfying Dobrushin's
con...
In many high dimensional classification or regression problems set in a
...
We study complex zeros of the partition function of 2-spin systems, view...
Zero-Shot Hashing aims at learning a hashing model that is trained only ...