Showing 81 - 100 results of 149 for search ' Neural Information Processing Systems Foundation', query time: 0.12s Refine Results
  1. 81
    Clustering redemption–beyond the impossibility of Kleinberg’s axioms

    Clustering redemption–beyond the impossibility of Kleinberg’s axioms by Cohen-Addad, V, Kanade, V, Mallmann-Trenn, F

    Published 2018
    “…Neural Information Processing Systems Foundation…”
    Conference item
  2. 82
    Rao-blackwellised particle filtering via data augmentation

    Rao-blackwellised particle filtering via data augmentation by Andrieu, C, De Freitas, N, Doucet, A

    Published 2002
    “…Neural information processing systems foundation…”
    Conference item
  3. 83
    Bayesian time series classification

    Bayesian time series classification by Sykacek, P, Roberts, S

    Published 2002
    “…Neural information processing systems foundation…”
    Journal article
  4. 84
    Optimal statistical rates for decentralised non-parametric regression with linear speed-up

    Optimal statistical rates for decentralised non-parametric regression with linear speed-up by Richards, D, Rebeschini, P

    Published 2019
    “…Neural Information Processing Systems Foundation…”
    Conference item
  5. 85
    Robust full Bayesian methods for neural networks

    Robust full Bayesian methods for neural networks by Andrieu, C, de Freitas, J, Doucet, A

    Published 2000
    “…Neural information processing systems foundation…”
    Conference item
  6. 86
    A kernel test for three-variable interactions

    A kernel test for three-variable interactions by Sejdinovic, D, Gretton, A, Bergsma, W

    Published 2013
    “…Neural information processing systems foundation…”
    Conference item
  7. 87
    Learning object bounding boxes for 3D instance segmentation on point clouds

    Learning object bounding boxes for 3D instance segmentation on point clouds by Yang, B, Wang, J, Clark, R, Hu, Q, Wang, S, Markham, A, Trigoni, N

    Published 2019
    “…Neural Information Processing Systems Foundation…”
    Conference item
  8. 88
    Decentralized cooperative stochastic bandits

    Decentralized cooperative stochastic bandits by Martínez-Rubio, D, Kanade, V, Rebeschini, P

    Published 2019
    “…Neural Information Processing Systems Foundation…”
    Conference item
  9. 89
    Identifiability in inverse reinforcement learning

    Identifiability in inverse reinforcement learning by Cao, H, Cohen, S, Szpruch, L

    Published 2021
    “…Neural Information Processing Systems Foundation…”
    Conference item
  10. 90
    A sampled texture prior for image super-resolution

    A sampled texture prior for image super-resolution by Pickup, L, Roberts, S, Zisserman, A

    Published 2004
    “…Neural information processing systems foundation…”
    Conference item
  11. 91
    Partial matrix completion

    Partial matrix completion by Hazan, E, Kalai, AT, Kanade, V, Mohri, C, Sun, YJ

    Published 2024
    “…Neural Information Processing Systems Foundation…”
    Conference item
  12. 92
    INDIGO: GNN-based inductive knowledge graph completion using pair-wise encoding

    INDIGO: GNN-based inductive knowledge graph completion using pair-wise encoding by Liu, S, Grau, B, Horrocks, I, Kostylev, EV

    Published 2021
    “…Neural Information Processing Systems Foundation…”
    Conference item
  13. 93
    Mix-MaxEnt: improving accuracy and uncertainty estimates of deterministic neural networks

    Mix-MaxEnt: improving accuracy and uncertainty estimates of deterministic neural networks by Pinto, F, Yang, H, Lim, S-N, Torr, PHS, Dokania, PK

    Published 2021
    “…Neural Information Processing Systems Foundation…”
    Conference item
  14. 94
    No representation rules them all in category discovery

    No representation rules them all in category discovery by Vaze, S, Vedaldi, A, Zisserman, A

    Published 2024
    “…Neural Information Processing Systems Foundation…”
    Conference item
  15. 95
    Loaded DiCE: Trading off bias and variance in any-order score function gradient estimators for reinforcement learning

    Loaded DiCE: Trading off bias and variance in any-order score function gradient estimators for reinforcement learning by Farquhar, G, Whiteson, S, Foerster, J

    Published 2019
    “…Neural Information Processing Systems Foundation…”
    Conference item
  16. 96
    The unscented particle filter

    The unscented particle filter by Van Der Merwe, R, Doucet, A, De Freitas, N, Wan, E

    Published 2001
    “…Neural information processing systems foundation…”
    Conference item
  17. 97
    Learning To Count Objects in Images

    Learning To Count Objects in Images by Lempitsky, V, Zisserman, A

    Published 2010
    “…Neural Information Processing Systems Foundation…”
    Conference item
  18. 98
    Fixing the train-test resolution discrepancy

    Fixing the train-test resolution discrepancy by Touvron, H, Vedaldi, A, Douze, M, Jégou, H

    Published 2019
    “…Neural Information Processing Systems Foundation…”
    Conference item
  19. 99
    Distributed machine learning with sparse heterogeneous data

    Distributed machine learning with sparse heterogeneous data by Richards, D, Negahban, S, Rebeschini, P

    Published 2021
    “…Neural Information Processing Systems Foundation…”
    Conference item
  20. 100
    Bayesian Optimization for Probabilistic Programs

    Bayesian Optimization for Probabilistic Programs by Rainforth, T, Le, T, van de Meent, J, Osborne, M, Wood, F

    Published 2016
    “…Neural Information Processing Systems Foundation…”
    Conference item

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