11. Prosinec 2019
16:40 00:05 Graph-based Discriminators: Sample Complexity and Expressiveness - Roi Livni 04:45 Nearly Tight Bounds for Robust Proper Learning of Halfspaces with a Margin - Pasin Manurangsi 09:35 McDiarmid-Type Inequalities for Graph-Dependent Variables and Stability Bounds - Yuyi Wang 14:01 The Broad Optimality of Profile Maximum Likelihood - Yi Hao
Neural Information Processing Systems (NeurIPS) is a multi-track machine learning and computational neuroscience conference that includes invited talks, demonstrations, symposia and oral and poster presentations of refereed papers. Following the conference, there are workshops which provide a less formal setting.
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