Skip to content

williamjameshandley/talks

Repository files navigation

Will Handley's academic talks

Academic talks

  1. GPU Accelerated Nested Sampling for 21-cm Cosmology
  2. Next-Generation Model Comparison for Primordial Cosmology
  3. AI/ML Tools for Research
    • KICC Workshop for faculty, postdocs, and PhD students
    • PDF
    • source
    • Jul 2025
  4. A Statistician's Guide to the Galaxy (Fitting Zoo)
  5. GPU Accelerated Nested Sampling
  6. lsbi: linear simulation based inference
  7. GPU-native nested sampling in BlackJAX: For simulation-based inference at scale
  8. Scanning for cosmological tensions across a DiRAC-enabled grid of models, datasets and samplers
  9. Cosmological tensions? A guide for high energy theorists
    • Talk given to DAMTP HEP group Cambridge
    • PDF
    • source
    • Jan 2025
  10. Theory meets experiment 2025: New frontiers in particle cosmology
  11. Next-generation statistical inference tools: Simulation-based inference, marginal statistics & accelerated nested sampling
  12. PolySwyft: a sequential simulation-based nested sampler
  13. lsbi: linear simulation based inference
  14. Nested sampling: powering next-generation inference and machine learning tools for astrophysics, cosmology, particle physics and beyond
  15. Sampling methods for high energy physics & particle astrophysics
  16. Nested sampling: powering next-generation inference and machine learning tools for astrophysics, cosmology, particle physics and beyond
  17. Nested sampling: powering next-generation inference and machine learning tools for astrophysics, cosmology, particle physics and beyond
  18. PolySwyft: a sequential simulation-based nested sampler
  19. The scaling frontier of nested sampling
  20. Resonant or asymmetric: The status of sub-GeV dark matter
  21. Next generation astrophysical inference across the interdisciplinary frontier
    • remote job talk given to UCL
    • PDF
    • source
    • May 2024
  22. PolySwyft: a sequential simulation-based nested sampler
  23. Next generation astrophysical inference across the interdisciplinary frontier
    • Job Talk given at the Institute of Astronomy, Cambridge
    • PDF
    • source
    • April 2024
  24. Nested sampling: powering next-generation inference and machine learning tools for astrophysics, cosmology, particle physics and beyond
  25. Sampling techniques in high-dimensional parameter spaces with ScannerBit 2.0
  26. Next-generation inference tools for cosmology and beyond
    • Talk given at Oxford cosmology seminar
    • PDF
    • source
    • Jan 2024
  27. Simulation Based Inference: theory, sampling & model comparison
    • Talk given at RAS SBI workshop
    • PDF
    • source
    • Jan 2024
  28. Nested sampling: powering next-generation inference and machine learning tools for astrophysics, cosmology, particle physics and beyond
  29. unimpeded: Universal model comparison and parameter estimation distributed over every dataset
  30. Cosmological inference tools: marginal statistics and fully Bayesian forecasts.
  31. Nested sampling: powering next-generation inference and machine learning tools for astrophysics, cosmology, particle physics and beyond
  32. Nested sampling tools
  33. Nested sampling: powering next-generation inference and machine learning tools for astrophysics, cosmology, particle physics and beyond
  34. Nested sampling: powering next-generation inference and machine learning tools for cosmology, particle physics and beyond
    • King's college, London, UK
    • PDF
    • source
    • Aug 2023
  35. The scaling frontier of nested sampling: Summary talk
    • Conference summary talk Frontiers of nested sampling NS2023
    • PDF
    • source
    • Jul 2023
  36. Gradients and nested sampling: The present state of the art
  37. Nested Sampling: A multi-purpose numerical tool for science and machine learning
    • Invited seminar at ETH Zurich
    • PDF
    • source
    • Mar 2023
  38. High dimensional nested sampling
  39. Nested sampling: powering the next-generation of Bayesian inference tools for cosmology, particle physics and beyond
    • Job talk given at Cavendish laboratory, Cambridge
    • PDF
    • source
    • Dec 2022
  40. Theory, observation & cosmological inference
  41. Next generation cosmological analysis with nested sampling
  42. Next generation cosmological analysis with nested sampling
  43. Nested Sampling: An efficient and robust Bayesian inference tool for particle physics and cosmology
  44. Frontiers of nested sampling
  45. Nested Sampling and Likelihood Free Inference
  46. Statistical methods in cosmology
  47. Review on Statistical Tools and Samplers
  48. Bayesian methods for quantifying global parameter tensions between cosmological datasets
  49. Nested sampling: An efficient and robust Bayesian inference tool for 21cm cosmology
  50. Nested Sampling: An efficient and robust Bayesian inference tool for physics and machine learning
    • University of Adelaide Colloquium, Australia
    • PDF
    • source
    • Feb 2020
  51. Nested Sampling: An efficient and robust Bayesian inference tool for astrophysics and cosmology
    • University of Oxford Seminar, UK
    • PDF
    • source
    • Jan 2020
  52. Quantised primordial power spectra
  53. Nested Sampling: an efficient and robust Bayesian inference tool for Machine Learning and Data Science
    • University of Cambridge CDT Seminar, UK
    • PDF
    • source
    • Nov 2019
  54. Curvature tension: Evidence for a closed universe (?)
    • University of Portsmouth seminar, UK
    • PDF
    • source
    • Aug 2019
  55. Quantifying cosmological tensions
    • University College London seminar, UK
    • PDF
    • source
    • Jul 2019
  56. Likelihood free inference
  57. Compromise-free Bayesian sparse reconstruction
  58. Inflation, curvature and kinetic dominance
  59. BAMBI: Resurrection -- Blind Accelerated Multimodal Bayesian Inference
  60. Nested Sampling: an efficient and robust Bayesian inference tool for cosmology and particle physics
  61. Bayesian inference: The state of the art in cosmology and astrophysics
    • Cambridge at the Third Asterics-Obelics workshop
    • PDF
    • [PDF]
    • source
    • Oct 2018
  62. Planck, inflation and the future of inflationary constraints
  63. MaxEnt priors with derived parameters in a specified distribution
    • Battcock coffee-time mini-seminar, Cambridge
    • source
    • PDF
    • May 2018
  64. Nested Sampling: an efficient and robust Bayesian inference tool for astrophysics and cosmology
    • Imperial college seminar, London
    • source
    • PDF
    • May 2018
  65. Introduction to Statistics
  66. Modern Bayesian Inference
    • Seminar at Aachen RWTH
    • source
    • PDF
    • April 2017
  67. Statistics
  68. PolyChord 2.0: Advances in Nested Sampling with astrophysical applications
    • Seminar at Center for Computational Astrophysics (CCA) Flatiron Institute, New York City, US
    • source
    • PDF
    • Feb 2017
  69. PolyChord 2.0 and the future of nested sampling
    • September 2016
    • Seminar at University College London, UK
    • source
    • PDF
  70. PolyChord 2.0 and the future of nested sampling
    • May 2016
    • Seminar at Sussex University, UK
    • source
    • PDF
  71. PolyChord and the future of nested sampling
  72. PolyChord: next generation nested sampling
    • Dec 2015
    • Seminar at MPA Max Planck Institute, Garching, Germany.
    • source
    • PDF

About

Academic talks given by Will Handley

Resources

Stars

Watchers

Forks

Packages

No packages published

Contributors 2

  •  
  •  

Languages