The Bernoulli Model
Random approximate computation in one model: the Bernoulli model, its preprints, the monograph that unifies them, and the prior work it builds on.
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Random approximate computation in one model: the Bernoulli model, its preprints, the monograph that unifies them, and the prior work it builds on.
A key-value store built on memory-mapped I/O, approximate perfect hashing, and lock-free atomics. Sub-100ns median latency, 10M ops/sec single-threaded.
Entropy maps use prefix-free hash codes to approximate functions without storing the domain, achieving information-theoretic space bounds with controllable error.
Space bounds, entropy requirements, and cryptographic security properties of perfect hash functions.
A Boolean algebra framework over trapdoors for cryptographic operations. Introduces a homomorphism from powerset Boolean algebra to n-bit strings via cryptographic hash functions, enabling secure computations with one-way properties.
Analyzing how Bernoulli Boolean types propagate through logic circuits, with correctness probabilities for noisy AND gates and interval arithmetic for composed circuits.
The Bernoulli Model is a framework for reasoning about probabilistic data structures by treating noisy outputs as Bernoulli-distributed approximations of latent values, from Booleans to set-indicator functions.
Rank-ordered search over encrypted documents using entropy maps built over trapdoors, enabling relevance scoring without revealing document contents.
Bloom filters trade perfect recall for extraordinary space efficiency. How they work and why they matter.