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Tue 7:00 Improving the Gating Mechanism of Recurrent Neural Networks
Albert Gu · Caglar Gulcehre · Thomas Paine · Matthew Hoffman · Razvan Pascanu
Tue 7:00 The Buckley-Osthus model and the block preferential attachment model: statistical analysis and application
Wenpin Tang · Xin Guo · Fengmin Tang
Tue 8:00 Scalable Identification of Partially Observed Systems with Certainty-Equivalent EM
Kunal Menda · Jean de Becdelievre · Jayesh K. Gupta · Ilan Kroo · Mykel Kochenderfer · Zachary Manchester
Tue 9:00 CAUSE: Learning Granger Causality from Event Sequences using Attribution Methods
Wei Zhang · Thomas Panum · Somesh Jha · Prasad Chalasani · David Page
Tue 10:00 On the Theoretical Properties of the Network Jackknife
Qiaohui Lin · Robert Lunde · Purnamrita Sarkar
Tue 10:00 Incremental Sampling Without Replacement for Sequence Models
Kensen Shi · David Bieber · Charles Sutton
Tue 10:00 Structured Prediction with Partial Labelling through the Infimum Loss
Vivien Cabannnes · Alessandro Rudi · Francis Bach
Tue 11:00 Consistent Structured Prediction with Max-Min Margin Markov Networks
Alex Nowak · Francis Bach · Alessandro Rudi
Tue 12:00 Learning to Simulate Complex Physics with Graph Networks
Alvaro Sanchez-Gonzalez · Jonathan Godwin · Tobias Pfaff · Rex (Zhitao) Ying · Jure Leskovec · Peter Battaglia
Tue 12:00 Learning the piece-wise constant graph structure of a varying Ising model
Batiste Le Bars · Pierre Humbert · Argyris Kalogeratos · Nicolas Vayatis
Tue 13:00 Temporal Logic Point Processes
Shuang Li · Lu Wang · Ruizhi Zhang · xiaofu Chang · Xuqin Liu · Yao Xie · Yuan Qi · Le Song
Tue 14:00 Learning Reasoning Strategies in End-to-End Differentiable Proving
Pasquale Minervini · Sebastian Riedel · Pontus Stenetorp · Edward Grefenstette · Tim Rockt√§schel