12 citations · 27 across the 12 of their papers we have counts for
3 papers · 1 filter
Efficient Online Conformal Selection with Limited Feedback
Sreenivas Gollapudi, Kostas Kollias, Kamesh Munagala +1
We address the problem of conformal selection, where an agent must select a low-cost subset of options to ensure that at least one "success" is identified at a pre-specified target…
Exphormer: Sparse Transformers for Graphs
Hamed Shirzad, Ameya Velingker, Balaji Venkatachalam +2
Graph transformers have emerged as a promising architecture for a variety of graph learning and representation tasks. Despite their successes, though, it remains challenging to sca…
Affinity-Aware Graph Networks
Ameya Velingker, Ali Kemal Sinop, Ira Ktena +2
Graph Neural Networks (GNNs) have emerged as a powerful technique for learning on relational data. Owing to the relatively limited number of message passing steps they perform -- a…