~/talks

Harrison Goldstein

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who talks about the same things

titleconferencedate
Language Support for Property-Based TestingML Family Workshop 20262026-08-28
Argues that ergonomic property-based testing needs three language features: monad syntax for generators (lets libraries swap seed-passing, seed-splitting, or…
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Tuning Random Generators: Property-Based Testing as Probabilistic ProgrammingOOPSLA 20252025-10-16
Generators become probabilistic programs with symbolic weights and are tuned by computing a symbolic distribution, compiling it into compressed BDD-based…
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QED in Context: An Observation Study of Proof Assistant UsersOOPSLA 20252025-10-16
An observational study watches 30 proof assistant users (half Rocq and Lean) for ~1 hour each and surfaces four concrete findings: proofs evolve nonlinearly…
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FEDT: Supporting Experiment Design and Execution in HCI Fabrication ResearchUIST 20252025-09-28
FEDT is an openly available tool that encodes fabrication experiments as an embedded Python DSL, letting researchers generate flowcharts, produce artifacts…
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Mica: Automated Differential Testing for OCaml ModulesOCaml 20242024-09-07
Mica is a PPX extension that derives QuickCheck-based differential tests for any OCaml signature by generating a typed algebraic exper AST, a gen_xer generator…
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Stream TypesPLDI 20242024-06-24
Proposes a type-theoretic foundation that lets ordinary list programs run as online stream processors by rejecting programs that need unbounded buffering and…
Talk
Daedalus: Safer Document ParsingPLDI 20242024-06-24
A domain-specific language and compiler generate safe, analyzable parsers with C++ and Haskell backends and a foreign‑function interface for things like…
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Consider CollaborationPLMW @ POPL 20242024-01-17
Argues that collaboration multiplies research output and effectiveness, citing one adviser’s record of 113 coauthored papers, four books and at least 60…
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Reflecting on Random GenerationICFP 20232023-09-04
Presents reflective generators that combine free generators + partial monadic profunctors so a generator can run “backwards” to recover random choices that…
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