Showing 1 - 20 results of 169 for search 'Journal of Machine Learning Research', query time: 0.42s Refine Results
  1. 1
    New algorithms for learning incoherent and overcomplete dictionaries

    New algorithms for learning incoherent and overcomplete dictionaries by Arora, Sanjeev, Ge, Rong, Moitra, Ankur

    Published 2016
    “…Journal of Machine Learning Research…”
    Get full text
    Get full text
    Article
  2. 2
    Tight bounds for the expected risk of linear classifiers and PAC-bayes finite-sample guarantees

    Tight bounds for the expected risk of linear classifiers and PAC-bayes finite-sample guarantees by Honorio Carrillo, Jean, Jaakkola, Tommi S.

    Published 2018
    “…Journal of Machine Learning Research…”
    Get full text
    Get full text
    Get full text
    Article
  3. 3
    Provably efficient learning with typed parametric models

    Provably efficient learning with typed parametric models by Brunskill, Emma, Leffler, Bethany R., Li, Lihong, Littman, Michael L., Roy, Nicholas

    Published 2010
    “…Journal of Machine Learning Research…”
    Get full text
    Get full text
    Article
  4. 4
    Exact and approximate sampling by systematic stochastic search

    Exact and approximate sampling by systematic stochastic search by Tenenbaum, Joshua B., Jonas, Eric M., Roy, Daniel, Mansinghka, Vikash K.

    Published 2011
    “…Journal of Machine Learning Research…”
    Get full text
    Get full text
    Article
  5. 5
    Tree block coordinate descent for map in graphical models

    Tree block coordinate descent for map in graphical models by Sontag, David Alexander, Jaakkola, Tommi S.

    Published 2011
    “…Journal of Machine Learning Research…”
    Get full text
    Get full text
    Article
  6. 6
    Integer Optimization Methods for Supervised Ranking

    Integer Optimization Methods for Supervised Ranking by Bertsimas, Dimitris, Chang, Allison, Rudin, Cynthia

    Published 2011
    “…Journal of Machine Learning Research…”
    Get full text
    Working Paper
  7. 7
    Transfer in Reinforcement Learning via Shared Features

    Transfer in Reinforcement Learning via Shared Features by Konidaris, George, Scheidwasser, Ilya, Barto, Andrew G.

    Published 2012
    “…Journal of Machine Learning Research…”
    Get full text
    Article
  8. 8
    Rare Probability Estimation under Regularly Varying Heavy Tails

    Rare Probability Estimation under Regularly Varying Heavy Tails by Ohannessian, Mesrob I., Dahleh, Munther A.

    Published 2015
    “…Journal of Machine Learning Research…”
    Get full text
    Get full text
    Article
  9. 9
    Time-bounded mission planning in time-varying domains with semi-MDPS and Gaussian processes

    Time-bounded mission planning in time-varying domains with semi-MDPS and Gaussian processes by Duckworth, P, Lacerda, B, Hawes, N

    Published 2021
    “…Journal of Machine Learning Research…”
    Conference item
  10. 10
    Ranking and synchronization from pairwise measurements via SVD

    Ranking and synchronization from pairwise measurements via SVD by d'Aspremont, A, Cucuringu, M, Tyagi, H

    Published 2021
    “…Journal of Machine Learning Research…”
    Journal article
  11. 11
    Universal approximation with deep narrow networks

    Universal approximation with deep narrow networks by Kidger, P, Lyons, T

    Published 2020
    “…Journal of Machine Learning Research…”
    Conference item
  12. 12
    Fingerprint policy optimisation for robust reinforcement learning

    Fingerprint policy optimisation for robust reinforcement learning by Paul, S, Osborne, M, Whiteson, S

    Published 2019
    “…Journal of Machine Learning Research…”
    Conference item
  13. 13
    Learning with semi-definite programming: statistical bounds based on fixed point analysis and excess risk curvature

    Learning with semi-definite programming: statistical bounds based on fixed point analysis and excess risk curvature by Chrétien, S, Cucuringu, M, Lecué, G, Neirac, L

    Published 2021
    “…Journal of Machine Learning Research…”
    Journal article
  14. 14
    Adversarial masking for self-supervised learning

    Adversarial masking for self-supervised learning by Shi, Y, Siddharth, N, Torr, PHS, Kosiorek, AR

    Published 2022
    “…Journal of Machine Learning Research…”
    Conference item
  15. 15
    Monte Carlo variational auto-encoders

    Monte Carlo variational auto-encoders by Thin, A, Kotelevskii, N, Durmus, A, Panov, M, Moulines, E, Doucet, A

    Published 2021
    “… Journal of Machine Learning Research…”
    Conference item
  16. 16
    Evaluating temporal observation-based causal discovery techniques applied to road driver behaviour

    Evaluating temporal observation-based causal discovery techniques applied to road driver behaviour by Howard, R, Kunze, L

    Published 2023
    “…Journal of Machine Learning Research…”
    Conference item
  17. 17
    Robust reinforcement learning with Bayesian optimisation and quadrature

    Robust reinforcement learning with Bayesian optimisation and quadrature by Paul, S, Chatzilygeroudis, K, Ciosek, K, Mouret, J-B, Osborne, MA, Whiteson, S

    Published 2020
    “…Journal of Machine Learning Research…”
    Journal article
  18. 18
    Fast computation of Wasserstein barycenters

    Fast computation of Wasserstein barycenters by Cuturi, M, Doucet, A

    Published 2014
    “…Journal of Machine Learning Research…”
    Conference item
  19. 19
    CLOCS: contrastive learning of cardiac signals across space, time, and patients

    CLOCS: contrastive learning of cardiac signals across space, time, and patients by Kiyasseh, D, Zhu, T, Clifton, DA

    Published 2021
    “…Journal of Machine Learning Research…”
    Journal article
  20. 20
    Growing action spaces

    Growing action spaces by Farquhar, G, Gustafson, L, Lin, Z, Whiteson, S, Usunier, N, Synnaeve, G

    Published 2020
    “…Journal of Machine Learning Research…”
    Conference item

Search Tools: