Showing 21 - 40 results of 67 for search ' Proceedings of Machine Learning Research', query time: 0.15s Refine Results
  1. 21
    Universal Hopfield networks: a general framework for single-shot associative memory models

    Universal Hopfield networks: a general framework for single-shot associative memory models by Millidge, B, Salvatori, T, Song, Y, Lukasiewicz, T, Bogacz, R

    Published 2022
    “… Proceedings of Machine Learning Research…”
    Conference item
  2. 22
    Adversarial de-confounding in individualised treatment effects estimation

    Adversarial de-confounding in individualised treatment effects estimation by Chauhan, VK, Molaei, S, Tania, MH, Thakur, A, Zhu, T, Clifton, DA

    Published 2023
    “…Proceedings of Machine Learning Research…”
    Conference item
  3. 23
    Learning and deploying robust locomotion policies with minimal dynamics randomization

    Learning and deploying robust locomotion policies with minimal dynamics randomization by Campanaro, L, Gangapurwala, S, Merkt, W, Havoutis, I

    Published 2024
    “…Proceedings of Machine Learning Research…”
    Conference item
  4. 24
    Learning quadratic games on networks

    Learning quadratic games on networks by Leng, Y, Dong, X, Wu, J, Pentland, A

    Published 2020
    “…Proceedings of Machine Learning Research…”
    Conference item
  5. 25
    Non-exchangeable feature allocation models with sublinear growth of the feature sizes

    Non-exchangeable feature allocation models with sublinear growth of the feature sizes by Di Benedetto, G, Caron, F, Teh, YW

    Published 2020
    “…Proceedings of Machine Learning Research…”
    Conference item
  6. 26
    AdaGeo: Adaptive geometric learning for optimization and sampling

    AdaGeo: Adaptive geometric learning for optimization and sampling by Abbati, G, Tosi, A, Osborne, M, Flaxman, S

    Published 2018
    “…Proceedings of Machine Learning Research…”
    Conference item
  7. 27
    Semi-Modular Inference: enhanced learning in multi-modular models by tempering the influence of components

    Semi-Modular Inference: enhanced learning in multi-modular models by tempering the influence of components by Carmona, CU, Nicholls, GK

    Published 2021
    “…Proceedings of the Machine Learning Research…”
    Conference item
  8. 28
    The effectiveness of world models for continual reinforcement learning

    The effectiveness of world models for continual reinforcement learning by Kessler, S, Ostaszewski, M, Bortkiewicz, M, Żarski, M, Wołczyk, M, Parker-Holder, J, Roberts, SJ, Miłos, P

    Published 2023
    “…Proceedings of Machine Learning Research…”
    Conference item
  9. 29
    Decentralised learning with distributed gradient descent and random features

    Decentralised learning with distributed gradient descent and random features by Richards, D, Rebeschini, P, Rosasco, L

    Published 2020
    “…Proceedings of Machine Learning Research…”
    Conference item
  10. 30
    PWSHAP: a path-wise explanation model for targeted variables

    PWSHAP: a path-wise explanation model for targeted variables by Ter-Minassian, L, Clivio, O, Diaz-Ordaz, K, Evans, RJ, Holmes, C

    Published 2023
    “…Proceedings of Machine Learning Research…”
    Conference item
  11. 31
    TAPAS: Tricks to Accelerate (encrypted) Prediction As a Service

    TAPAS: Tricks to Accelerate (encrypted) Prediction As a Service by Sanyal, A, Kusner, M, Gascon, A, Kanade, V

    Published 2018
    “…Proceedings of Machine Learning Research…”
    Conference item
  12. 32
    Laplacian-regularized graph bandits: algorithms and theoretical analysis

    Laplacian-regularized graph bandits: algorithms and theoretical analysis by Yang, K, Dong, X, Toni, L

    Published 2020
    “…Proceedings of Machine Learning Research…”
    Conference item
  13. 33
    Efficient Bayesian methods for counting processes in partially observable environments

    Efficient Bayesian methods for counting processes in partially observable environments by Jovan, F, Wyatt, J, Hawes, N

    Published 2018
    “…Proceedings of Machine Learning Research…”
    Conference item
  14. 34
    A Birth-Death Process for Feature Allocation

    A Birth-Death Process for Feature Allocation by Palla, K, Knowles, D, Ghahramani, Z

    Published 2017
    “…Proceedings of Machine Learning Research…”
    Conference item
  15. 35
    Interpretable stability bounds for spectral graph filters

    Interpretable stability bounds for spectral graph filters by Kenlay, H, Thanou, D, Dong, X

    Published 2021
    “…Proceedings of Machine Learning Research…”
    Conference item
  16. 36
    Warped convolutions: Efficient invariance to spatial transformations

    Warped convolutions: Efficient invariance to spatial transformations by Henriques, J, Vedaldi, A

    Published 2017
    “…Proceedings of Machine Learning Research…”
    Conference item
  17. 37
    Adaptive Gaussian processes on graphs via spectral graph wavelets

    Adaptive Gaussian processes on graphs via spectral graph wavelets by Opolka, FL, Zhi, YC, Liò, P, Dong, X

    Published 2022
    “…Proceedings of Machine Learning Research…”
    Conference item
  18. 38
    A geometric approach to archetypal analysis via Sparse Projections

    A geometric approach to archetypal analysis via Sparse Projections by Abrol, V, Sharma, P

    Published 2020
    “…Proceedings of Machine Learning Research…”
    Conference item
  19. 39
    You only look at one: category-level object representations for pose estimation from a single example

    You only look at one: category-level object representations for pose estimation from a single example by Goodwin, W, Havoutis, I, Posner, I

    Published 2023
    “…Proceedings of Machine Learning Research…”
    Conference item
  20. 40
    DRCFS: doubly robust causal feature selection

    DRCFS: doubly robust causal feature selection by Quinzan, F, Soleymani, A, Jaillet, P, Rojas, CR, Bauer, S

    Published 2023
    “…Proceedings of Machine Learning Research…”
    Conference item

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