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h5 指数:91
h5 中位数:148

h5 指数是指在过去整整 5 年中所发表文章的 h 指数。h 指在 2018-2022 年间发表的 h 篇文章每篇至少都被引用过 h 次的最大值。隐藏

出版物的 h5 中位数，是指出版物的 h5 指数所涵盖的所有文章获得的引用次数的中位值。隐藏

#3 Data Mining & Analysis
#16 Artificial Intelligence

标题/作者	引用次数	年份
How To Backdoor Federated Learning. E Bagdasaryan, A Veit, Y Hua, D Estrin, V Shmatikov AISTATS, 2938-2948	1287	2020
VAE with a VampPrior. JM Tomczak, M Welling AISTATS, 1214-1223	568	2018
Learning Generative Models with Sinkhorn Divergences. A Genevay, G Peyré, M Cuturi AISTATS, 1608-1617	539	2018
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization. A Reisizadeh, A Mokhtari, H Hassani, A Jadbabaie, R Pedarsani AISTATS, 2021-2031	496	2020
Interpolating between Optimal Transport and MMD using Sinkhorn Divergences. J Feydy, T Séjourné, FX Vialard, S Amari, A Trouvé, G Peyré AISTATS, 2681-2690	379	2019
Variational Autoencoders and Nonlinear ICA: A Unifying Framework. I Khemakhem, DP Kingma, RP Monti, A Hyvärinen AISTATS, 2207-2217	370	2020
Tighter Theory for Local SGD on Identical and Heterogeneous Data. A Khaled, K Mishchenko, P Richtárik AISTATS, 4519-4529	314	2020
Lagrange Coded Computing: Optimal Design for Resiliency, Security, and Privacy. Q Yu, S Li, N Raviv, SMM Kalan, M Soltanolkotabi, AS Avestimehr AISTATS, 1215-1225	308	2019
Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks. M Li, M Soltanolkotabi, S Oymak AISTATS, 4313-4324	279	2020
Subsampled Renyi Differential Privacy and Analytical Moments Accountant. YX Wang, B Balle, SP Kasiviswanathan AISTATS, 1226-1235	279	2019
Towards Efficient Data Valuation Based on the Shapley Value. R Jia, D Dao, B Wang, FA Hubis, N Hynes, NM Gürel, B Li, C Zhang, ... AISTATS, 1167-1176	272	2019
A Unified Analysis of Extra-gradient and Optimistic Gradient Methods for Saddle Point Problems: Proximal Point Approach. A Mokhtari, AE Ozdaglar, S Pattathil AISTATS, 1497-1507	269	2020
Optimizing Millions of Hyperparameters by Implicit Differentiation. J Lorraine, P Vicol, D Duvenaud AISTATS, 1540-1552	268	2020
Fast and Faster Convergence of SGD for Over-Parameterized Models and an Accelerated Perceptron. S Vaswani, FR Bach, M Schmidt AISTATS, 1195-1204	261	2019
On the Convergence of Stochastic Gradient Descent with Adaptive Stepsizes. X Li, F Orabona AISTATS, 983-992	237	2019
Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control. S Kamthe, MP Deisenroth AISTATS, 1701-1710	236	2018
Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows. G Papamakarios, DC Sterratt, I Murray AISTATS, 837-848	232	2019
Sample Complexity of Sinkhorn Divergences. A Genevay, L Chizat, FR Bach, M Cuturi, G Peyré AISTATS, 1574-1583	232	2019
Model-Agnostic Counterfactual Explanations for Consequential Decisions. AH Karimi, G Barthe, B Balle, I Valera AISTATS, 895-905	225	2020
Scalable Gradients for Stochastic Differential Equations. X Li, TKL Wong, RTQ Chen, D Duvenaud AISTATS, 3870-3882	222	2020

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