Technology
Stochastic Primal-Dual Method for Empirical Risk Minimization with O(1) Per-Iteration Complexity
Conghui Tan, Tong Zhang, Shiqian Ma, Ji Liu
Regularized empirical risk minimization problem with linear predictor appears frequentlyinmachinelearning.
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Our paper conforms toallethic guidelines.
RandomizedMessage-InterceptionSmoothing: Gray-boxCertificatesforGraphNeuralNetworks
Our approach is also in contrast to white-box certificates that apply only to very specific models.
ExponentialSeparationsinSymmetricNeural Networks
Specifically,weconsider theRelational Network[21] architecture as a natural generalization of the DeepSets [32] architecture, and study their representational gap.
Differentially Private Bayesian Inference for Exponential Families
Garrett Bernstein, Daniel R. Sheldon
Neural Information Processing Systems http://nips.cc/
Multiagent Evaluation under Incomplete Information
Mark Rowland, Shayegan Omidshafiei, Karl Tuyls, Julien Perolat, Michal Valko, Georgios Piliouras, Remi Munos
Neural Information Processing Systems http://nips.cc/
