随笔分类 -  杂学

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Temporal Point Processes
摘要：目录TPPEvolutionary point processesConditional intensity function [t]Conditional intensity function [t,κ]InferenceSimulationInverse Method 阅读全文
posted @ 2023-11-09 14:21 馒头and花卷 阅读(296) 评论(0) 推荐(0) 编辑
Autoregressive Search Engines: Generating Substrings as Document Identifiers
摘要：目录概SEAL代码 Bevilacqua M., Ottaviano G., Lewis P., Yih W., Riedel S. and Petroni F. Autoregressive search engines: generating substrings as document ide 阅读全文
posted @ 2023-10-29 19:31 馒头and花卷 阅读(94) 评论(0) 推荐(0) 编辑
BWT and FM-index
摘要：目录概Burrows-Wheler Transform (BWT)编码性质解码FM-index直观但简陋的方式更高效的方式代码 Langmead B. Burrows-Wheeler transform and FM Index. burning-BWT算法浅析-(一) 概 有趣的编解码. Burr 阅读全文
posted @ 2023-10-29 16:20 馒头and花卷 阅读(1004) 评论(0) 推荐(0) 编辑
Metropolis Algorithms for Representative Subgraph Sampling
摘要：目录概主要内容Metropolis graph sampling H\¨{u}bler C. and Kriegel H., Borgwardt K. and Ghahramani Z. Metropolis algorithms for representative subgraph sampli 阅读全文
posted @ 2023-10-19 20:40 馒头and花卷 阅读(13) 评论(0) 推荐(0) 编辑
Sampling from Large Graphs
摘要：目录概主要内容 Leskovec J. and Faloutsos C. Sampling from large graphs. KDD, 2006. 概 讨论了不同稀疏化方法对于 large-graph 的`结构' 的保持. 主要内容 作者本文的目的是希望比较不同的'稀疏化'方法: 利用一些方法从 阅读全文
posted @ 2023-10-18 21:43 馒头and花卷 阅读(23) 评论(0) 推荐(0) 编辑
Graph Laplacian for Semi-Supervised Learning
摘要：目录概符号说明Graph-Laplacian for SSL Streicher O. and Gilboa G. Graph laplacian for semi-supervised learning. arXiv preprint arXiv:2301.04956, 2023. 概 标题取得有 阅读全文
posted @ 2023-10-11 16:44 馒头and花卷 阅读(14) 评论(0) 推荐(0) 编辑
Weighted Nonlocal Laplacian on Interpolation from Sparse Data
摘要：目录概符号说明WNLL Shi Z., Osher S. and Zhu W. Weighted nonlocal laplacian on interpolation from sparse data. 2017, J. Sci. Comput. 概 针对 graph laplacian 提出的一 阅读全文
posted @ 2023-10-11 16:14 馒头and花卷 阅读(19) 评论(0) 推荐(0) 编辑
Graph transduction via alternating minimization
摘要：目录概符号说明GTAM交替优化求解 Wang J., Jebara T. and Chang S. Graph transduction via alternating minimization. ICML, 2008. 概 一种对类别不均更鲁棒的半监督算法. 符号说明 \(\mathcal{X}_ 阅读全文
posted @ 2023-09-12 15:13 馒头and花卷 阅读(5) 评论(0) 推荐(0) 编辑
Graph Construction and b-Matching for Semi-Supervised Learning
摘要：目录概符号说明图的构建Graph Sparsificationϵ-neighborhood graphkNN graphb-MatchingGraph Edge Re-Weighting Jebara T., Wang J. and Chang S. Graph 阅读全文
posted @ 2023-09-11 14:52 馒头and花卷 阅读(19) 评论(0) 推荐(0) 编辑
Subword
摘要：[TOC] > [1] [Unigram](http://arxiv.org/abs/1804.10959) > [2] [SentencePiece](https://colabdoge.medium.com/understanding-sentencepiece-under-standing-s 阅读全文
posted @ 2023-07-23 17:34 馒头and花卷 阅读(40) 评论(0) 推荐(0) 编辑
Rank Correlation
摘要：[TOC] > [Kumar R., Vassilvitskii S. Generalized distances between rankings. WWW, 2010.](https://dl.acm.org/doi/10.1145/1772690.1772749) ## 概 有些时候, 我们会 阅读全文
posted @ 2023-06-18 19:10 馒头and花卷 阅读(47) 评论(0) 推荐(0) 编辑
Hypercube
摘要：Spielman D. A. Spectral and Algebraic Graph Theory. 概 设计 Hypercube 的特征值和特征向量的证明着实有趣, 特此记录. Hypercube 对于两个加权图 G=(V,E,v) 和 H=(W,F,w) 而言, $G 阅读全文
posted @ 2023-04-07 12:49 馒头and花卷 阅读(85) 评论(0) 推荐(1) 编辑
A Theory of Usable Information Under Computational Constraints
摘要：Xu Y., Zhao S., Song J., Stewart R. and Ermon S. A theory of usable information under computational constraints. International Conference on Learning 阅读全文
posted @ 2023-04-03 16:00 馒头and花卷 阅读(125) 评论(0) 推荐(0) 编辑
When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee
摘要：Zhu D., Li G., Wang B., Wu X. and Yang T. When AUC meets DRO: Optimizing partial auc for deep learning with non-convex convergence guarantee. In Inter 阅读全文
posted @ 2023-02-26 19:49 馒头and花卷 阅读(229) 评论(0) 推荐(0) 编辑
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation
摘要：Bengio Y., L\acute{e}onard N. and Courville A. Estimating or propagating gradients through stochastic neurons for conditional computation. arXiv prepr 阅读全文
posted @ 2022-11-02 15:38 馒头and花卷 阅读(216) 评论(0) 推荐(0) 编辑
Importance Sampling and Rejection Sampling
摘要：Chen Y. Lecture 4: Importance Sampling and Rejection Sampling. Importance Sampling 设想我们希望估计这样的一个值: I=Ep(f(X))=∫f(x)p(x)dx; 但是 阅读全文
posted @ 2022-09-24 16:06 馒头and花卷 阅读(99) 评论(0) 推荐(0) 编辑
Adaptive Sampled Softmax with Kernel Based Sampling
摘要：Blanc G. and Rendle S. Adaptive sampled softmax with kernel based sampling. In International Conference on Machine Learning (ICML), 2018. 概 这儿 已经讨论了现在 阅读全文
posted @ 2022-09-23 14:03 馒头and花卷 阅读(74) 评论(0) 推荐(0) 编辑
Adaptive Importance Sampling to Accelerate Training of a Neural Probabilistic Language Model
摘要：Bengio Y. and Sen\acute{e}cal J. S. Adaptive importance sampling to accelerate training of a neural probabilistic language model. IEEE Transactions on 阅读全文
posted @ 2022-09-18 20:23 馒头and花卷 阅读(244) 评论(3) 推荐(1) 编辑
Weisfeiler-Lehman Test
摘要：Huang N. and Villar S. A short tutorial on the weisfeiler-lehman test and its variants. arXiv preprint arXiv:2201.07083, 2022. 概 本文介绍了 WL-Test 和它的一些变体 阅读全文
posted @ 2022-09-15 11:04 馒头and花卷 阅读(637) 评论(0) 推荐(0) 编辑
On Variational Bounds of Mutual Information
摘要：Poole B., Ozair S., van den Oord A., Alemi A. A. and Tucker G. On variational bounds of mutual information. In International Conference on Machine Lea 阅读全文
posted @ 2022-08-07 10:18 馒头and花卷 阅读(606) 评论(0) 推荐(1) 编辑

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