- 2016-10-12: Gaussian processes for time-series modelling, S. Roberts, M. Osborne, M. Ebden, S. Reece, N. Gibson, S. Aigrain [pdf]
- 2016-09-28: Boltzmann Machines, Geoffrey Hinton
- 2016-09-14: XGBoost: A Scalable Tree Boosting System, Tianqi Chen, Carlos Guestrin
- 2016-08-31: Visualizing Data using t-SNE, Laurens van der Maaten, Geoffrey Hinton
- 2016-08-17: Big Learning with Bayesian Methods, Jun Zhu, Jianfei Chen, Wenbo Hu
- 2016-08-03: Abandoning Objectives: Evolution through the Search for Novelty Alone, Joel Lehman, Kenneth O. Stanley
- 2016-07-20: POINTWISE: Predicting Points and Valuing Decisions in Real Time with NBA Optical Tracking Data, Dan Cervone, Alexander D’Amour, Luke Bornn, Kirk Goldsberry
- 2016-07-06: Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records, Riccardo Miotto, Li Li, Brian A. Kidd & Joel T. Dudley
- 2016-06-22: Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation, Kyunghyun Cho, Bart van Merrienboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, Yoshua Bengio
- 2016-06-08: Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks, Alec Radford, Luke Metz, Soumith Chintala
- 2016-05-25: Intriguing properties of neural networks, Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow, Rob Fergus
- 2016-05-11: “Why Should I Trust You?” Explaining the Predictions of Any Classifier, Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin
- 2016-04-27: Linear Models: A Useful “Microscope” for Causal Analysis, Judea Pearl
- 2016-04-13: INFERRING CAUSAL IMPACT USING BAYESIAN STRUCTURAL TIME-SERIES MODELS, Kay H. Brodersen, Fabian Gallusser, Jim Koehler, Nicolas Remy and Steven L. Scott
- 2016-03-30: Mastering the game of Go with deep neural networks and tree search, David Silver, Aja Huang1, Chris J. Maddison, Arthur Guez, Laurent Sifre, George van den Driessche,Julian Schrittwieser, Ioannis Antonoglou, Veda Panneershelvam, Marc Lanctot, Sander Dieleman, Dominik Grewe, John Nham, Nal Kalchbrenner, Ilya Sutskever, Timothy Lillicrap, Madeleine Leach, Koray Kavukcuoglu1, Thore Graepel1, Demis Hassabis
- 2016-03-16: A Neural Algorithm of Artistic Style, Leon A. Gatys, Alexander S. Ecker, Matthias Bethge
- 2016-03-02: Probabilistic Methods for Time-Series Analysis, Idris A. Eckley, Paul Fearnhead, Rebecca Killick
- 2016-02-17: Practical recommendations for gradient-based training of deep architectures, Yoshua Bengio
- 2016-01-20: Expectation propagation as a way of life, Andrew Gelman, Aki Vehtari, Pasi Jylänki, Christian Robert, Nicolas Chopink, John P. Cunningham
- 2016-01-06: Aggregation for the probabilistic traveling salesman problem, Ann Melissa Campbell