Aikimaify

Open and Closed Problems in NP-Completeness by David S. Johnson
Open and Closed Problems in NP-Completeness by David S. Johnson
Hashing Algorithms for Efficient Search, Learning, and Compressed Sensing (Workshop by Ping Li)
Hashing Algorithms for Efficient Search, Learning, and Compressed Sensing (Workshop by Ping Li)
Cell probe lower bounds for approximate near neighbor search with Bregman divergences
Cell probe lower bounds for approximate near neighbor search with Bregman divergences
Hashing in machine learning (by John Langford)
Hashing in machine learning (by John Langford)
Locality senitive hashing (Alexander Andoni)
Locality senitive hashing (Alexander Andoni)
Streams, sketching, and databases II (by Graham Cormode)
Streams, sketching, and databases II (by Graham Cormode)
Coordinated sampling (Haim Kaplan)
Coordinated sampling (Haim Kaplan)
Dimensionality reductions (by Alexander Andoni)
Dimensionality reductions (by Alexander Andoni)
Streams, sketching, and databases I (by Graham Cormode)
Streams, sketching, and databases I (by Graham Cormode)
Reliable hashing for complex applications (by Mikkel Thorup)
Reliable hashing for complex applications (by Mikkel Thorup)
Cuckoo hashing and balanced allocations (by Michael Mitzenmacher)
Cuckoo hashing and balanced allocations (by Michael Mitzenmacher)
Dictionaries with implicit keys (by Rasmus Pagh)
Dictionaries with implicit keys (by Rasmus Pagh)
High speed hashing for integers and strings (by Mikkel Thorup)
High speed hashing for integers and strings (by Mikkel Thorup)
Bloom filters and their diverse applications (Michael Mitzenmacher)
Bloom filters and their diverse applications (Michael Mitzenmacher)
Basics of hashing: k-independence and the impact on applications (by Rasmus Pagh)
Basics of hashing: k-independence and the impact on applications (by Rasmus Pagh)