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Ng On causal and anticausal learning (ICML 2012) [Paper] Authors: Bernhard Schölkopf, Dominik Janzing, Jonas Peters, Eleni Sgouritsa, Kun Zhang, Joris Mooij Outstanding Papers 2021 [Best Papers] [All Papers] Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies (ICML 2021) [Paper] Authors: Paul Vicol · Luke Metz · Jascha Sohl-Dickstein Oops I Took A Gradient: Scalable Sampling for Discrete Distributions (ICML 2021) [Paper] Authors: Will Grathwohl · Kevin Swersky · Milad Hashemi · David Duvenaud · Chris Maddison Understanding self-supervised learning dynamics without contrastive pairs (ICML 2021) [Paper] Authors: Yuandong Tian · Xinlei Chen · Surya Ganguli Optimal Complexity in Decentralized Training (ICML 2021) [Paper] Authors: Yucheng Lu · Christopher De Sa Solving high-dimensional parabolic PDEs using the tensor train format (ICML 2021) [Paper] Authors: Lorenz Richter · Leon Sallandt · Nikolas Nüsken Outstanding Papers 2020 [Best Papers] [All Papers] On Learning Sets of Symmetric Elements Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems (ICML 2020) [Paper] Authors: Kaixuan Wei · Angelica I Aviles-Rivero · Jingwei Liang · Ying Fu · Carola-Bibiane Schönlieb · Hua Huang Efficiently sampling functions from Gaussian process posteriors Generative Pretraining From Pixels (ICML 2020) [Paper] Authors: James Wilson · Viacheslav Borovitskiy · Alexander Terenin · Peter Mostowsky · Marc Deisenroth Outstanding Papers 2019 [Best Papers] [All Papers] Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations (ICML 2019) [Paper] Authors: Francesco Locatello, Stefan Bauer, Mario Lucic, Gunnar Rätsch, Sylvain Gelly, Bernhard Schölkopf, Olivier Bachem Rates of Convergence for Sparse Variational Gaussian Process Regression (ICML 2019) [Paper] Authors: David R

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