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#batches — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #batches, aggregated by home.social.

  1. The #freezer isn't big enough for #batches of #homemade #chickenbroth. A can is £1.90😱 & £1.40 on #specialoffer. That's #extortion! Looked at the #Ingredients (below). Shouldn't this be called carrot & rice #broth?

    Water, Carrot, Cooked Rice (Water, Rice), Potato, Swede, Onions, Chicken (2.5%), Peas, Cornflour, Modified Maize Starch, Salt, Flavouring, Chicken Fat, Yeast Extract, Parsley, Chicken Stock (Water, Chicken, Chicken Fat, Salt, Yeast Extract), Ground White Pepper

    #inflation #cooking

  2. 'Fast Rates in Pool-Based Batch Active Learning', by Claudio Gentile, Zhilei Wang, Tong Zhang.

    jmlr.org/papers/v25/22-1409.ht

    #labeling #batches #batch

  3. 'Fast Rates in Pool-Based Batch Active Learning', by Claudio Gentile, Zhilei Wang, Tong Zhang.

    jmlr.org/papers/v25/22-1409.ht

    #labeling #batches #batch

  4. 'Fast Rates in Pool-Based Batch Active Learning', by Claudio Gentile, Zhilei Wang, Tong Zhang.

    jmlr.org/papers/v25/22-1409.ht

    #labeling #batches #batch

  5. 'Fast Rates in Pool-Based Batch Active Learning', by Claudio Gentile, Zhilei Wang, Tong Zhang.

    jmlr.org/papers/v25/22-1409.ht

    #labeling #batches #batch

  6. 'Fast Rates in Pool-Based Batch Active Learning', by Claudio Gentile, Zhilei Wang, Tong Zhang.

    jmlr.org/papers/v25/22-1409.ht

    #labeling #batches #batch

  7. 'Law of Large Numbers and Central Limit Theorem for Wide Two-layer Neural Networks: The Mini-Batch and Noisy Case', by Arnaud Descours, Arnaud Guillin, Manon Michel, Boris Nectoux.

    jmlr.org/papers/v25/22-0952.ht

    #asymptotic #stochastic #batches

  8. 'Law of Large Numbers and Central Limit Theorem for Wide Two-layer Neural Networks: The Mini-Batch and Noisy Case', by Arnaud Descours, Arnaud Guillin, Manon Michel, Boris Nectoux.

    jmlr.org/papers/v25/22-0952.ht

    #asymptotic #stochastic #batches

  9. 'Law of Large Numbers and Central Limit Theorem for Wide Two-layer Neural Networks: The Mini-Batch and Noisy Case', by Arnaud Descours, Arnaud Guillin, Manon Michel, Boris Nectoux.

    jmlr.org/papers/v25/22-0952.ht

    #asymptotic #stochastic #batches

  10. 'Law of Large Numbers and Central Limit Theorem for Wide Two-layer Neural Networks: The Mini-Batch and Noisy Case', by Arnaud Descours, Arnaud Guillin, Manon Michel, Boris Nectoux.

    jmlr.org/papers/v25/22-0952.ht

    #asymptotic #stochastic #batches

  11. 'Law of Large Numbers and Central Limit Theorem for Wide Two-layer Neural Networks: The Mini-Batch and Noisy Case', by Arnaud Descours, Arnaud Guillin, Manon Michel, Boris Nectoux.

    jmlr.org/papers/v25/22-0952.ht

    #asymptotic #stochastic #batches

  12. U-Statistics for Importance-Weighted Variational Inference

    Javier Burroni, Kenta Takatsu, Justin Domke, Daniel Sheldon

    openreview.net/forum?id=oXmwAP

    #variational #batches #inference

  13. U-Statistics for Importance-Weighted Variational Inference

    Javier Burroni, Kenta Takatsu, Justin Domke, Daniel Sheldon

    openreview.net/forum?id=oXmwAP

    #variational #batches #inference

  14. U-Statistics for Importance-Weighted Variational Inference

    Javier Burroni, Kenta Takatsu, Justin Domke, Daniel Sheldon

    openreview.net/forum?id=oXmwAP

    #variational #batches #inference

  15. U-Statistics for Importance-Weighted Variational Inference

    Javier Burroni, Kenta Takatsu, Justin Domke, Daniel Sheldon

    openreview.net/forum?id=oXmwAP

    #variational #batches #inference

  16. U-Statistics for Importance-Weighted Variational Inference

    Javier Burroni, Kenta Takatsu, Justin Domke, Daniel Sheldon

    openreview.net/forum?id=oXmwAP

    #variational #batches #inference