Search Results for author:
Found 4 papers, 1 papers with code
Improving Graph Neural Networks at Scale: Combining Approximate PageRank and CoreRank
Graph Neural Networks (GNNs) have achieved great successes in many learning tasks performed on graph structures.
SlateFree: a Model-Free Decomposition for Reinforcement Learning with Slate Actions
We consider the problem of sequential recommendations, where at each step an agent proposes some slate of $N$ distinct items to a user from a much larger catalog of size $K>>N$.
SOBA: Session optimal MDP-based network friendly recommendations
Caching content over CDNs or at the network edge has been solidified as a means to improve network cost and offer better streaming experience to users.
Networking and Internet Architecture Performance
Sequential Resource Access: Theory and Algorithm
We formulate and analyze a generic sequential resource access problem arising in a variety of engineering fields, where a user disposes a number of heterogeneous computing, communication, or storage resources, each characterized by the probability of successfully executing the user's task and the related access delay and cost, and seeks an optimal access strategy to maximize her utility within a given time horizon, defined as the expected reward minus the access cost.
Networking and Internet Architecture
