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 版块 作者 回复/查看 最后发表
计算视觉Sampling-Decomposable Generative Adversarial Recommender attachment 经管文库（原现金交易版） Barda-2025 2025-8-10 0 79 Barda-2025 2025-8-10 18:54:41
ICML-Concentric mixtures of Mallows models for top-$k$ rankings sampling an ... attachment 经管文库（原现金交易版） Mujahida 2025-8-10 0 79 Mujahida 2025-8-10 18:08:45
ICML-Disentangling Sampling and Labeling Bias for Learning in Large-output ... attachment 经管文库（原现金交易版） Mujahida 2025-8-10 0 66 Mujahida 2025-8-10 16:36:52
计算视觉Simplify and Robustify Negative Sampling for Implicit Collaborative Fil ... attachment 经管文库（原现金交易版） Barda-2025 2025-8-10 0 71 Barda-2025 2025-8-10 15:11:42
计算视觉Sub-sampling for Efficient Non-Parametric Bandit Exploration attachment 经管文库（原现金交易版） Barda-2025 2025-8-10 0 68 Barda-2025 2025-8-10 14:16:00
ICML-Image-Level or Object-Level A Tale of Two Resampling Strategies for Lo ... attachment 经管文库（原现金交易版） Mujahida 2025-8-10 0 61 Mujahida 2025-8-10 13:59:21
ICML-Meta-Thompson Sampling attachment 经管文库（原现金交易版） Mujahida 2025-8-10 0 64 Mujahida 2025-8-10 08:58:44
ICML-Instance-Optimal Compressed Sensing via Posterior Sampling attachment 经管文库（原现金交易版） Mujahida 2025-8-10 0 60 Mujahida 2025-8-10 08:03:36
WOR and $p$'s Sketches for $ ell_p$-Sampling Without Replacement attachment 经管文库（原现金交易版） Kaka-2030 2025-8-8 0 61 Kaka-2030 2025-8-8 11:54:02
ICML-Geometric convergence of elliptical slice sampling attachment 经管文库（原现金交易版） Mujahida 2025-7-28 0 119 Mujahida 2025-7-28 09:19:31
ICML-On Limited-Memory Subsampling Strategies for Bandits attachment 经管文库（原现金交易版） Mujahida 2025-7-28 0 55 Mujahida 2025-7-28 08:20:33
ICML-Parallel and Flexible Sampling from Autoregressive Models via Langevin ... attachment 经管文库（原现金交易版） Mujahida 2025-7-27 0 87 Mujahida 2025-7-27 18:30:14
ICML-Oops I Took A Gradient Scalable Sampling for Discrete Distributions attachment 经管文库（原现金交易版） Mujahida 2025-7-27 0 75 Mujahida 2025-7-27 18:08:53
ICML-Optimal Thompson Sampling strategies for support-aware CVaR bandits attachment 经管文库（原现金交易版） Mujahida 2025-7-27 0 86 Mujahida 2025-7-27 17:05:00
ICML-Practical and Private (Deep) Learning Without Sampling or Shuffling attachment 经管文库（原现金交易版） Mujahida 2025-7-27 0 65 Mujahida 2025-7-27 16:59:11
计算视觉Optimal Sampling and Clustering in the Stochastic Block Model attachment 经管文库（原现金交易版） Luce2030 2025-7-27 0 73 Luce2030 2025-7-27 10:56:54
计算视觉Poisson-Minibatching for Gibbs Sampling with Convergence Rate Guarantees attachment 经管文库（原现金交易版） Luce2030 2025-7-27 0 84 Luce2030 2025-7-27 10:51:06
ICML-Variance Reduced Training with Stratified Sampling for Forecasting Models attachment 经管文库（原现金交易版） Mujahida 2025-7-27 0 66 Mujahida 2025-7-27 09:39:03
计算视觉Parameter elimination in particle Gibbs sampling attachment 经管文库（原现金交易版） Luce2030 2025-7-27 0 64 Luce2030 2025-7-27 08:14:18
抽样与抽样分布 attachment 经管文库（原现金交易版） 打了个飞的 2025-6-18 0 75 打了个飞的 2025-6-18 16:37:35
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