Showing 41 - 60 results of 169 for search 'Journal of Machine Learning Research', query time: 0.31s Refine Results
  1. 41
    Communicating via Markov decision processes

    Communicating via Markov decision processes by Sokota, S, de Witt, CS, Igl, M, Zintgraf, L, Torr, P, Strohmeier, M, Kolter, JZ, Whiteson, S, Foerster, J

    Published 2022
    “…Journal of Machine Learning Research…”
    Conference item
  2. 42
    One-class classification of point patterns of extremes

    One-class classification of point patterns of extremes by Luca, S, Clifton, D, Vanrumste, B

    Published 2016
    “…Journal of Machine Learning Research…”
    Journal article
  3. 43
    Black-box policy search with probabilistic programs

    Black-box policy search with probabilistic programs by Van De Meent, J, Paige, B, Tolpin, D, Wood, F

    Published 2016
    “…Journal of Machine Learning Research…”
    Conference item
  4. 44
    GradientDICE: rethinking generalized offline estimation of stationary values

    GradientDICE: rethinking generalized offline estimation of stationary values by Zhang, S, Liu, B, Whiteson, S

    Published 2020
    “…Journal of Machine Learning Research…”
    Conference item
  5. 45
    On the limitations of representing functions on sets

    On the limitations of representing functions on sets by Wagstaff, E, Fuchs, F, Engelcke, M, Posner, I, Osborne, M

    Published 2019
    “…Journal of Machine Learning Research…”
    Conference item
  6. 46
    An analysis of convex relaxations for MAP estimation of discrete MRFs

    An analysis of convex relaxations for MAP estimation of discrete MRFs by Pawan Kumar, M, Kolmogorov, V, Torr, PHS

    Published 2009
    “…Journal of Machine Learning Research…”
    Journal article
  7. 47
    Engineering a large language model from scratch

    Engineering a large language model from scratch by Oketunji, AF

    Published 2024
    “…Journal of Machine Learning Research…”
    Journal article
  8. 48
    GLASSES: Relieving the myopia of Bayesian optimisation

    GLASSES: Relieving the myopia of Bayesian optimisation by Gonzalez, J, Osborne, M, Lawrence, N

    Published 2016
    “…Journal of Machine Learning Research…”
    Conference item
  9. 49
    Signature moments to characterize laws of stochastic processes

    Signature moments to characterize laws of stochastic processes by Chevyrev, I, Oberhauser, H

    Published 2022
    “…Journal of Machine Learning Research…”
    Journal article
  10. 50
    Adversarial robustness guarantees for Gaussian processes

    Adversarial robustness guarantees for Gaussian processes by Patane, A, Blaas, A, Laurenti, L, Cardelli, L, Roberts, S, Kwiatkowska, M

    Published 2022
    “…Journal of Machine Learning Research…”
    Journal article
  11. 51
    Outlier-robust Kalman filtering through generalised Bayes

    Outlier-robust Kalman filtering through generalised Bayes by Duran-Martin, G, Altamirano, M, Shestopaloff, AY, Sánchez-Betancourt, L, Knoblauch, J, Jones, M, Briol, F-X, Murphy, K

    Published 2024
    “…Journal of Machine Learning Research…”
    Conference item
  12. 52
    Deep coordination graphs

    Deep coordination graphs by Boehmer, W, Kurin, V, Whiteson, S

    Published 2020
    “…Journal of Machine Learning Research…”
    Conference item
  13. 53
    Probably approximately correct stability of allocations in uncertain coalitional games with private sampling

    Probably approximately correct stability of allocations in uncertain coalitional games with private sampling by Pantazis, G, Fele, F, Fabiani, F, Grammatico, S, Margellos, K

    Published 2024
    “…Journal of Machine Learning Research…”
    Conference item
  14. 54
    DAMNETS: a deep autoregressive model for generating Markovian network time series

    DAMNETS: a deep autoregressive model for generating Markovian network time series by Clarkson, J, Cucuringu, M, Elliott, A, Reinert, G

    Published 2022
    “…Journal of Machine Learning Research…”
    Conference item
  15. 55
    DiCE: The infinitely differentiable Monte Carlo estimator

    DiCE: The infinitely differentiable Monte Carlo estimator by Foerster, J, Farquhar, G, Al-Shedivat, M, Rocktäschel, T, Xing, E, Whiteson, S

    Published 2018
    “…Journal of Machine Learning Research…”
    Conference item
  16. 56
    QMIX: Monotonic value function factorisation for deep multi-agent reinforcement learning

    QMIX: Monotonic value function factorisation for deep multi-agent reinforcement learning by Rashid, T, Samvelyan, M, Schroeder de Witt, C, Farquhar, G, Foerster, J, Whiteson, S

    Published 2018
    “…Journal of Machine Learning Research…”
    Conference item
  17. 57
    On PAC-Bayesian reconstruction guarantees for VAEs

    On PAC-Bayesian reconstruction guarantees for VAEs by Cherief-Abdellatif, B-E, Shi, Y, Doucet, A, Guedj, B

    Published 2022
    “…Journal of Machine Learning Research…”
    Conference item
  18. 58
    Consistency of Gaussian process regression in metric spaces

    Consistency of Gaussian process regression in metric spaces by Koepernik, P, Pfaff, F

    Published 2021
    “…Journal of Machine Learning Research…”
    Journal article
  19. 59
    Faster algorithms for Markov equivalence

    Faster algorithms for Markov equivalence by Hu, Z, Evans, R

    Published 2020
    “…Journal of Machine Learning Research…”
    Journal article
  20. 60
    Position: reinforcement learning in dynamic treatment regimes needs critical reexamination

    Position: reinforcement learning in dynamic treatment regimes needs critical reexamination by Luo, Z, Pan, Y, Watkinson, P, Zhu, T

    Published 2024
    “…Journal of Machine Learning Research…”
    Conference item

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