Showing 101 - 120 results of 169 for search 'Journal of Machine Learning Research', query time: 0.49s Refine Results
  1. 101
    Complexity of equivalence and learning for multiplicity tree automata

    Complexity of equivalence and learning for multiplicity tree automata by Marusic, I, Worrell, J

    Published 2015
    “…Journal of Machine Learning Research…”
    Journal article
  2. 102
    Target–aware Bayesian inference: how to beat optimal conventional estimators

    Target–aware Bayesian inference: how to beat optimal conventional estimators by Rainforth, T, Goliński, A, Wood, F, Zaidi, S

    Published 2020
    “…Journal of Machine Learning Research…”
    Journal article
  3. 103
    Amortised likelihood-free inference for expensive time-series simulators with signatured ratio estimation

    Amortised likelihood-free inference for expensive time-series simulators with signatured ratio estimation by Dyer, J, Cannon, P, Schmon, SM

    Published 2022
    “…Journal of Machine Learning Research…”
    Conference item
  4. 104
    Learning an expert skill-space for replanning dynamic quadruped locomotion over obstacles

    Learning an expert skill-space for replanning dynamic quadruped locomotion over obstacles by Surovik, D, Melon, O, Geisert, M, Fallon, M, Havoutis, I

    Published 2021
    “…Journal of Machine Learning Research…”
    Conference item
  5. 105
    Exact inference on Gaussian graphical models of arbitrary topology using path-sums

    Exact inference on Gaussian graphical models of arbitrary topology using path-sums by Giscard, P, Choo, Z, Thwaite, S, Jaksch, D

    Published 2016
    “…Journal of Machine Learning Research…”
    Journal article
  6. 106
    Neural SDEs as infinite-dimensional GANs

    Neural SDEs as infinite-dimensional GANs by Kidger, P, Foster, J, Li, X, Oberhauser, H, Lyons, T

    Published 2021
    “…Journal of Machine Learning Research…”
    Journal article
  7. 107
    Annealed Flow Transport Monte Carlo

    Annealed Flow Transport Monte Carlo by Arbel, M, Matthews, AGDG, Doucet, A

    Published 2021
    “…Journal of Machine Learning Research…”
    Conference item
  8. 108
    Efficient state-space inference of periodic latent force models

    Efficient state-space inference of periodic latent force models by Reece, S, Ghosh, S, Rogers, A, Roberts, S, Jennings, N

    Published 2014
    “…Journal of Machine Learning Research…”
    Journal article
  9. 109
    DR-ABC: Approximate Bayesian computation with kernel-based distribution regression

    DR-ABC: Approximate Bayesian computation with kernel-based distribution regression by Mitrovic, J, Sejdinovic, D, Teh, Y

    Published 2016
    “…Journal of Machine Learning Research…”
    Conference item
  10. 110
    Expander graph propagation

    Expander graph propagation by Deac, A, Lackenby, M, Veličković, P

    Published 2022
    “… Journal of Machine Learning Research…”
    Conference item
  11. 111
    Expected policy gradients for reinforcement learning

    Expected policy gradients for reinforcement learning by Ciosek, K, Ciosek, K, Whiteson, S

    Published 2020
    “…Journal of Machine Learning Research…”
    Journal article
  12. 112
    Scalable gaussian processes for characterizing multidimensional change surfaces

    Scalable gaussian processes for characterizing multidimensional change surfaces by Herlands, W, Wilson, A, Nickisch, H, Flaxman, S, Neill, D, van Panhuis, W, Xing, E

    Published 2016
    “…Journal of Machine Learning Research…”
    Conference item
  13. 113
    A kernel test for causal association via noise contrastive backdoor adjustment

    A kernel test for causal association via noise contrastive backdoor adjustment by Hu, R, Sejdinovic, D, Evans, RJ

    Published 2024
    “…Journal of Machine Learning Research…”
    Journal article
  14. 114
    On Markov chain Monte Carlo Methods for Tall Data

    On Markov chain Monte Carlo Methods for Tall Data by Bardenet, R, Doucet, A, Holmes, C

    Published 2017
    “…Journal of Machine Learning Research…”
    Journal article
  15. 115
    Convergence rates for the stochastic gradient descent method for non-convex objective functions

    Convergence rates for the stochastic gradient descent method for non-convex objective functions by Fehrman, B, Gess, B, Jentzen, A

    Published 2020
    “…Journal of Machine Learning Research…”
    Journal article
  16. 116
    Graph-coupled oscillator networks

    Graph-coupled oscillator networks by Rusch, TK, Chamberlain, BP, Rowbottom, J, Mishra, S, Bronstein, MM

    Published 2022
    “…Journal of Machine Learning Research…”
    Conference item
  17. 117
    Neural rough differential equations for long time series

    Neural rough differential equations for long time series by Morrill, J, Salvi, C, Kidger, P, Foster, J, Lyons, T

    Published 2021
    “…Journal of Machine Learning Research…”
    Conference item
  18. 118
    Beyond Bayesian model averaging over paths in probabilistic programs with stochastic support

    Beyond Bayesian model averaging over paths in probabilistic programs with stochastic support by Reichelt, T, Ong, L, Rainforth, T

    Published 2024
    “…Journal of Machine Learning Research…”
    Conference item
  19. 119
    Learning inconsistent preferences with Gaussian processes

    Learning inconsistent preferences with Gaussian processes by Chau, SL, González, J, Sejdinovic, D

    Published 2022
    “…Journal of Machine Learning Research…”
    Journal article
  20. 120
    Bayesian Nonparametric Crowdsourcing

    Bayesian Nonparametric Crowdsourcing by Moreno, P, Artes-Rodriguez, A, Teh, Y, Perez-Cruz, F

    Published 2015
    “…Journal of Machine Learning Research…”
    Journal article

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