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Number of items: 14.

Article

Silva, R; Evans, R; (2016) Causal Inference through a Witness Protection Program. Journal of Machine Learning Research , 17 , Article 56. Green open access
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Silva, R; Kalaitzis, A; (2015) Bayesian inference via projections. Statistics and Computing , 25 (4) pp. 739-753. 10.1007/s11222-015-9557-6. Green open access
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Silva, R; Kang, SM; Airoldi, EM; (2015) Predicting traffic volumes and estimating the effects of shocks in massive transportation systems. Proceedings of the National Academy of Sciences of the United States of America , 112 (18) pp. 5643-5648. 10.1073/pnas.1412908112. Green open access
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Silva, R; Shimizu, S; (2017) Learning Instrumental Variables with Structural and Non-Gaussianity Assumptions. Journal of Machine Learning Research , 18 (120) pp. 1-49. Green open access
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Proceedings paper

Colombo, N; Silva, R; Kang, SM; (2017) Tomography of the London Underground: a Scalable Model for Origin-Destination Data. In: Guyon, I and Luxburg, UV and Bengio, S and Wallach, H and Fergus, R and Vishwanathan, S and Garnett, R, (eds.) Advances in Neural Information Processing Systems 30 (NIPS 2017). NIPS Proceedings: Long Beach, CA, USA. Green open access
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Do Carmo, RAF; Kang, SM; Silva, R; (2017) Visualization of Topic-Sentiment Dynamics in Crowdfunding Projects. In: Adams, N and Tucker, A and Weston, D, (eds.) Advances in Intelligent Data Analysis XVI: 16th International Symposium, IDA 2017, London, UK, October 26–28, 2017, Proceedings. (pp. pp. 40-51). Springer: Cham, Switzerland. Green open access
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Kalaitzis, A; Silva, R; (2013) Flexible sampling of discrete data correlations without the marginal distributions. In: Burges, CJC and Bottou, L and Welling, M and Ghahramani, Z and Weinberger, KQ, (eds.) Advances in Neural Information Processing Systems 26 (NIPS 2013). Neural Information Processing Systems Foundation: Lake Tahoe, NV, USA. Green open access
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Kusner, MJ; Russell, C; Loftus, J; Silva, R; (2017) Counterfactual Fairness. In: Guyon, I and Luxburg, UV and Bengio, S and Wallach, H and Fergus, R and Vishwanathan, S and Garnett, R, (eds.) Advances in Neural Information Processing Systems 30 (NIPS 2017). NIPS Proceedings: Long Beach, CA, USA. Green open access
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Ng, YC; Chilinski, P; Silva, R; (2016) Scaling Factorial Hidden Markov Models: Stochastic Variational Inference without Messages. In: Proceedings of the 29th Conference on Neural Information Processing Systems (NIPS 2016). Neural Information Processing Systems Foundation: Barcelona, Spain. Green open access
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Russell, C; Kusner, M; Loftus, C; Silva, R; (2017) When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness. In: Guyon, I and Luxburg, UV and Bengio, S and Wallach, H and Fergus, R and Vishwanathan, S and Garnett, R, (eds.) Advances in Neural Information Processing Systems 30 (NIPS 2017). NIPS Proceedings: Long Beach, CA, USA. Green open access
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Silva, R; (2016) Observational-Interventional Priors for Dose-Response Learning. In: Proceedings of the Advances in Neural Information Processing Systems 29 (NIPS 2016). NIPS Proceedings: Barcelona, Spain. Green open access
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Silva, R; (2012) Latent Composite Likelihood Learning for the Structured Canonical Correlation Model. In: Uncertainty in Artificial Intelligence: Proceedings of the Twenty-Eighth Conference (2012). (pp. pp. 765-774). AUAI Press: Corvallis, Oregon, USA. Green open access
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Silva, R; Evans, R; (2014) Causal Inference through a Witness Protection Program. In: Gharamani, Z and Welling, W and Cortes, C and Lawrence, ND and Weinberger, KQ, (eds.) Advances in Neural Information Processing Systems 27 (NIPS 2014). Neural Information Processing Systems Foundation: Montreal, Canada. Green open access
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Thesis

Parsons, S; (2016) Approximation methods for latent variable models. Doctoral thesis , UCL (University College London). Green open access
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This list was generated on Sun Sep 22 04:01:56 2019 BST.