Papers
Scalable Differential Privacy with Certified Robustness in Adversarial Learning
Hai Phan, My T. Thai, Han Hu et al.
Scalable Exact Inference in Multi-Output Gaussian Processes
Wessel Bruinsma, Eric Perim, William Tebbutt et al.
Scalable Gaussian Process Separation for Kernels with a Non-Stationary Phase
Jan Graßhoff, Alexandra Jankowski, Philipp Rostalski
Scalable Identification of Partially Observed Systems with Certainty-Equivalent EM
Kunal Menda, Jean De Becdelievre, Jayesh Gupta et al.
Scalable Nearest Neighbor Search for Optimal Transport
Arturs Backurs, Yihe Dong, Piotr Indyk et al.
Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing
Zhe Zeng, Paolo Morettin, Fanqi Yan et al.
Schatten Norms in Matrix Streams: Hello Sparsity, Goodbye Dimension
Vladimir Braverman, Robert Krauthgamer, Aditya Krishnan et al.
SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates
Lingkai Kong, Jimeng Sun, Chao Zhang
Searching to Exploit Memorization Effect in Learning with Noisy Labels
Quanming Yao, Hansi Yang, Bo Han et al.
Second-Order Provable Defenses against Adversarial Attacks
Sahil Singla, Soheil Feizi
Selective Dyna-Style Planning Under Limited Model Capacity
Zaheer Abbas, Samuel Sokota, Erin Talvitie et al.
Self-Attentive Associative Memory
Hung Le, Truyen Tran, Svetha Venkatesh
Self-Attentive Hawkes Process
Qiang Zhang, Aldo Lipani, Omer Kirnap et al.
Self-Concordant Analysis of Frank-Wolfe Algorithms
Pavel Dvurechensky, Petr Ostroukhov, Kamil Safin et al.
Self-Modulating Nonparametric Event-Tensor Factorization
Zheng Wang, Xinqi Chu, Shandian Zhe
Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training
Xuxi Chen, Wuyang Chen, Tianlong Chen et al.
Self-supervised Label Augmentation via Input Transformations
Hankook Lee, Sung Ju Hwang, Jinwoo Shin
Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees
Sen Na, Yuwei Luo, Zhuoran Yang et al.
Semismooth Newton Algorithm for Efficient Projections onto $\ell_1, ∞$-norm Ball
Dejun Chu, Changshui Zhang, Shiliang Sun et al.
Semi-Supervised Learning with Normalizing Flows
Pavel Izmailov, Polina Kirichenko, Marc Finzi et al.
Semi-Supervised StyleGAN for Disentanglement Learning
Weili Nie, Tero Karras, Animesh Garg et al.
Sequence Generation with Mixed Representations
Lijun Wu, Shufang Xie, Yingce Xia et al.
Sequential Cooperative Bayesian Inference
Junqi Wang, Pei Wang, Patrick Shafto
Sequential Transfer in Reinforcement Learning with a Generative Model
Andrea Tirinzoni, Riccardo Poiani, Marcello Restelli
Set Functions for Time Series
Max Horn, Michael Moor, Christian Bock et al.