Showing 61 - 80 results of 169 for search 'Journal of Machine Learning Research', query time: 0.49s Refine Results
  1. 61
    How does over-squashing affect the power of GNNs?

    How does over-squashing affect the power of GNNs? by Di Giovanni, F, Rusch, TK, Bronstein, MM, Deac, A, Lackenby, M, Mishra, S, Velickovic, P

    Published 2024
    “…Journal of Machine Learning Research…”
    Journal article
  2. 62
    Graph-dependent implicit regularisation for distributed stochastic subgradient descent

    Graph-dependent implicit regularisation for distributed stochastic subgradient descent by Richards, D, Rebeschini. P

    Published 2020
    “…Journal of Machine Learning Research…”
    Journal article
  3. 63
    Learning Green's functions associated with parabolic partial differential equations

    Learning Green's functions associated with parabolic partial differential equations by Boullé, N, Kim, S, Shi, T, Townsend, A

    Published 2022
    “…Journal of Machine Learning Research…”
    Journal article
  4. 64
    Finite-horizon equilibria for neuro-symbolic concurrent stochastic games

    Finite-horizon equilibria for neuro-symbolic concurrent stochastic games by Yan, R, Santos, G, Duan, X, Parker, D, Kwiatkowska, M

    Published 2022
    “…Journal of Machine Learning Research…”
    Conference item
  5. 65
    Branch and bound for piecewise linear neural network verification

    Branch and bound for piecewise linear neural network verification by Bunel, R, Mudigonda, P, Turkaslan, I, Torr, P, Lu, J, Kohli, P

    Published 2020
    “…Journal of Machine Learning Research…”
    Journal article
  6. 66
    Monotonic value function factorisation for deep multi-agent reinforcement learning

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

    Published 2020
    “…Journal of Machine Learning Research…”
    Journal article
  7. 67
    Provably convergent two−timescale off−policy actor−critic with function approximation

    Provably convergent two−timescale off−policy actor−critic with function approximation by Zhang, S, Liu, B, Yao, H, Whiteson, S

    Published 2020
    “…Journal of Machine Learning Research…”
    Conference item
  8. 68
    Lagrangian decomposition for neural network verification

    Lagrangian decomposition for neural network verification by Bunel, R, De Palma, A, Desmaison, A, Dvijotham, K Dj, Kohli, P, Torr, PHS, Kumar, MP

    Published 2020
    “…Journal of Machine Learning Research…”
    Conference item
  9. 69
    Learning inertial odometry for dynamic legged robot state estimation

    Learning inertial odometry for dynamic legged robot state estimation by Buchanan, R, Camurri, M, Dellaert, F, Fallon, M

    Published 2022
    “…Journal of Machine Learning Research…”
    Conference item
  10. 70
    Differentiable causal backdoor discovery

    Differentiable causal backdoor discovery by Gultchin, L, Kusner, M, Kanade, VN, Silva, R

    Published 2020
    “…Journal of Machine Learning Research…”
    Conference item
  11. 71
    Is SGD a Bayesian sampler? Well, almost

    Is SGD a Bayesian sampler? Well, almost by Mingard, C, Valle-Perez, G, Skalse, J, Louis, AA

    Published 2021
    “…Journal of Machine Learning Research…”
    Journal article
  12. 72
    Touching a NeRF: leveraging neural radiance fields for tactile sensory data generation

    Touching a NeRF: leveraging neural radiance fields for tactile sensory data generation by Zhong, S, Albini, A, Parker Jones, O, Maiolino, P, Posner, H

    Published 2023
    “…Journal of Machine Learning Research…”
    Conference item
  13. 73
    Particle Gibbs split-merge sampling for Bayesian inference in mixture models

    Particle Gibbs split-merge sampling for Bayesian inference in mixture models by Bouchard-Côté, A, Doucet, A, Roth, A

    Published 2017
    “…Journal of Machine Learning Research…”
    Journal article
  14. 74
    Scaling properties of deep residual networks

    Scaling properties of deep residual networks by Cohen, A-S, Cont, R, Rossier, A, Xu, R

    Published 2021
    “…Journal of Machine Learning Research…”
    Conference item
  15. 75
    Encrypted accelerated least squares regression

    Encrypted accelerated least squares regression by Esperança, P, Aslett, L, Holmes, C

    Published 2017
    “…Journal of Machine Learning Research…”
    Journal article
  16. 76
    Stable ResNet

    Stable ResNet by Hayou, S, Clerico, E, He, B, Deligiannidis, G, Doucet, A, Rousseau, J

    Published 2021
    “…Journal of Machine Learning Research…”
    Conference item
  17. 77
    Deep neural networks with dependent weights: Gaussian process mixture limit, heavy tails, sparsity and compressibility

    Deep neural networks with dependent weights: Gaussian process mixture limit, heavy tails, sparsity and compressibility by Lee, H, Ayed, F, Jung, P, Lee, J, Yang, H, Caron, FLR

    Published 2023
    “…Journal of Machine Learning Research…”
    Journal article
  18. 78
    Improved moves for truncated convex models

    Improved moves for truncated convex models by Pawan Kumar, M, Veksler, O, Torr, PHS

    Published 2011
    “…Journal of Machine Learning Research…”
    Journal article
  19. 79
    Efficient MCMC sampling with dimension-free convergence rate using ADMM-type splitting

    Efficient MCMC sampling with dimension-free convergence rate using ADMM-type splitting by Vono, M, Paulin, D, Doucet, A

    Published 2022
    “…Journal of Machine Learning Research…”
    Journal article
  20. 80
    "Hey, that's not an ODE": faster ODE adjoints with 12 lines of code

    "Hey, that's not an ODE": faster ODE adjoints with 12 lines of code by Kidger, P, Chen, RTQ, Lyons, T

    Published 2021
    “…Journal of Machine Learning Research…”
    Journal article

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