303 citations
- Politecnico di TorinoIT17 papers
- Sapienza University of RomeIT12 papers
- University of TurinIT10 papers
- Centre National de la Recherche ScientifiqueFR9 papers
- Collegio Carlo AlbertoIT9 papers
- Decision Sciences (United States)US7 papers
- École Polytechnique Fédérale de LausanneCH7 papers
- The Abdus Salam International Centre for Theoretical Physics (ICTP)IT7 papers
- The University of Texas at AustinUS7 papers
- University of MilanIT7 papers
- Institute for Complex SystemsIT6 papers
- Istituto Nazionale di Fisica NucleareIT6 papers
24 papers · 1 filter
Reconstruction of Pairwise Interactions using Energy-Based Models
Christoph Feinauer, Carlo Lucibello
Pairwise models like the Ising model or the generalized Potts model have found many successful applications in fields like physics, biology, and economics. Closely connected is the…
BERT Goes Shopping: Comparing Distributional Models for Product Representations
Federico Bianchi, Bingqing Yu, Jacopo Tagliabue
Word embeddings (e.g., word2vec) have been applied successfully to eCommerce products through~\textit{prod2vec}. Inspired by the recent performance improvements on several NLP task…
Turnpike in infinite dimension
Paolo Leonetti, Michele Caprio
Let be a correspondence from a normed vector space into itself, let be a function, and be an ideal on . Also, assume that the…
Optimal distributed composite testing in high-dimensional Gaussian models with 1-bit communication
Botond Szabo, Lasse Vuursteen, Harry van Zanten
In this paper we study the problem of signal detection in Gaussian noise in a distributed setting where the local machines in the star topology can communicate a single bit of info…
Wide flat minima and optimal generalization in classifying high-dimensional Gaussian mixtures
Carlo Baldassi, Enrico M. Malatesta, Matteo Negri +1
We analyze the connection between minimizers with good generalizing properties and high local entropy regions of a threshold-linear classifier in Gaussian mixtures with the mean sq…
View selection in multi-view stacking: Choosing the meta-learner
Wouter van Loon, Marjolein Fokkema, Botond Szabo +1
Multi-view stacking is a framework for combining information from different views (i.e. different feature sets) describing the same set of objects. In this framework, a base-learne…