156 citations · 445 across the 17 of their papers we have counts for
4 papers · 1 filter
Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction
Stephen Bach, Bert Huang, Ben London +1
Graphical models for structured domains are powerful tools, but the computational complexities of combinatorial prediction spaces can force restrictions on models, or require appro…
A Hypergraph-Partitioned Vertex Programming Approach for Large-scale Consensus Optimization
Hui Miao, Xiangyang Liu, Bert Huang +1
In modern data science problems, techniques for extracting value from big data require performing large-scale optimization over heterogenous, irregularly structured data. Much of t…
Multi-relational Learning Using Weighted Tensor Decomposition with Modular Loss
Ben London, Theodoros Rekatsinas, Bert Huang +1
We propose a modular framework for multi-relational learning via tensor decomposition. In our learning setting, the training data contains multiple types of relationships among a s…
Graph-based Generalization Bounds for Learning Binary Relations
Ben London, Bert Huang, Lise Getoor
We investigate the generalizability of learned binary relations: functions that map pairs of instances to a logical indicator. This problem has application in numerous areas of mac…