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Showing 151–180 of 204 reference entries
A proof in a black-box encryption or signature game typically exposes specified outputs and oracles, not secret-dependent timing, power, cache traces or fault responses.
MethodInformationPAC learning: realizable and agnostic guaranteesPAC learning bounds population risk with probability at least 1−delta from iid samples.
Mathematical statementInformationA finite-class uniform-convergence boundFor a finite hypothesis class H, iid observations and losses in [0,1], Hoeffding plus a union bound gives probability at most 2|H|exp(−2n epsilon²) that any empirical risk differs from its population risk by more than epsilon.
Mathematical statementInformationVC dimension and distribution-free learnabilityVC dimension is the largest size of a point set on which a binary hypothesis class realizes every labeling.
Mathematical statementInformationPosterior inference, priors and identifiabilityBayesian inference combines likelihood and prior into a posterior conditional on observed data.
DefinitionInformationQubits, density states and measurement probabilitiesA qubit pure state is a normalized vector in C² modulo global phase; a mixed state is a positive trace-one density operator.
DefinitionInformationQuantum channels and complete positivityA physical channel on a subsystem is modeled by a completely positive trace-preserving map.
DefinitionInformationQuantum circuits, gates and resource accountingA quantum circuit composes unitary gates, ancillas, channels and measurements from a specified gate set.
DefinitionInformationGrover search and its black-box lower boundFor an unstructured search over N alternatives with a coherent marking oracle and one marked item, amplitude amplification uses O(sqrt(N)) oracle queries for bounded success probability.
Mathematical statementInformationShor order finding and factoring assumptionsShor's factoring algorithm reduces factoring to order finding and uses modular exponentiation, quantum phase/Fourier processing and classical continued fractions.
MethodInformationQuantum entropy and the Holevo boundVon Neumann entropy is −tr rho log2 rho and equals Shannon entropy of the density operator's eigenvalues.
Mathematical statementInformationRelational algebra and query meaningA relation is a set of tuples over a schema.
DefinitionInformationKeys and relational integrity constraintsA candidate key is a minimal attribute set uniquely identifying a tuple; a superkey need not be minimal.
DefinitionInformationTransactions and serializable outcomesA transaction groups operations with atomic commit or abort.
MethodInformationSnapshot isolation and serializability comparedPostgreSQL 18 repeatable read uses snapshot isolation: each transaction reads a stable snapshot, but concurrent writes to different rows can produce write skew and a nonserializable joint outcome.
DefinitionInformationSmall-step semantics and observable executionAn operational semantics defines a transition relation between program configurations, including state when needed.
DefinitionInformationProgress and preservation as type-safety obligationsFor the declared simply typed language, progress says a closed well-typed term is a value or can take a step; preservation says evaluation retains its type.
Mathematical statementInformationConcurrency, happens-before and race freedomSequential consistency presents operations in one order preserving each thread's program order.
DefinitionInformationVerified compilation and its trusted boundaryCompCert's principal semantic-preservation theorem relates accepted C abstract syntax to generated assembly abstract syntax: generated behavior refines permitted source behavior under the theorem's hypotheses.
MethodInformationCompCert 3.18: a dated verification developmentThe official CompCert 3.18 release in August 2026 revises formal handling of alignment/free and adds Rocq 9.2 support.
MethodInformationPopulation risk and empirical learning objectivesFor predictors h, population risk is expected loss under a declared data distribution; empirical risk averages loss over a sample.
DefinitionInformationRegularization and optimization are separate controlsRegularized empirical minimization adds lambda times a complexity penalty to sample loss.
MethodInformationStochastic gradient and the assumptions behind convergenceStochastic gradient updates parameters using a sampled gradient or subgradient.
MethodInformationPrincipal components and representation assumptionsPCA finds an orthogonal low-rank subspace minimizing squared reconstruction error for centered observations.
MethodInformationValidation, test independence and leakageTraining fits parameters, validation selects models/tuning, and a final held-out test estimates performance of the selected procedure on its sampling population.
MethodInformationBayesian networks, d-separation and inferenceA Bayesian network uses a directed acyclic graph and local conditional distributions to factor a joint law.
DefinitionInformationVariational inference and the evidence lower boundVariational inference approximates a posterior by choosing q from a specified family to minimize KL(q||posterior).
MethodInformationMCMC and variational inference: evidence and tradeoffsMCMC constructs a Markov chain with a desired stationary posterior and estimates integrals from correlated draws; convergence, mixing and effective sample size require checks.
DefinitionInformationPrediction, causal intervention and identifiabilityObservational conditioning p(Y|X=x) and intervention p(Y|do(X=x)) describe different operations.
DefinitionInformationFault and timing assumptions in distributed systemsCrash faults stop a process; Byzantine faults permit arbitrary behavior, including inconsistent messages.
Definition