On biased random walks, corrupted intervals, and learning under adversarial design
Work
Year: 2020
Type: article
Cites: 38
Cited by:
Related to: 10
FWCI:
Citation percentile (by year/subfield):
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Sustainable Development Goal Reduced inequalities
Open Access status: green
Funders Milken Family Foundation, Google, Israel Science Foundation, Directorate for Computer and Information Science and Engineering
Grant IDS N/A, N/A, 1002/14, CCF-1848966 and CCF-1934915