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Number of items: 48.

Article

Belitski, A; Gretton, A; Magri, C; Murayama, Y; Montemurro, M; Logothetis, N; Panzeri, S; (2008) Low-Frequency Local Field Potentials and Spikes in Primary Visual Cortex Convey Independent Visual Information. Journal of Neuroscience , 28 , Article 22. Green open access
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Gretton, A; Borgwardt, K; Rasch, M; Schoelkopf, B; Smola, A; (2012) A Kernel Two-Sample Test. Journal of Machine Learning Research , 13 pp. 723-773. Green open access
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Lomelí, M; Rowland, M; Gretton, A; Ghahramani, Z; (2019) Antithetic and Monte Carlo kernel estimators for partial rankings. Statistics and Computing 10.1007/s11222-019-09859-z. (In press). Green open access
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Muandet, K; Sriperumbudur, B; Fukumizu, K; Gretton, A; Schölkopf, B; (2016) Kernel Mean Shrinkage Estimators. Journal of Machine Learning Research , 17 , Article 48. Green open access
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Shelton, JA; Gasthaus, J; Dai, Z; Lücke, J; Gretton, A; (2017) GP-Select: Accelerating EM using adaptive subspace preselection. Neural Computation , 29 (8) pp. 2177-2202. 10.1162/NECO_a_00982. Green open access
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Sriperumbudur, B; Fukumizu, K; Gretton, A; Hyvärinen, A; Kumar, R; (2017) Density Estimation in Infinite Dimensional Exponential Families. Journal of Machine Learning Research , 18 , Article 57. Green open access
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Weichwald, S; Grosse-Wentrup, M; Gretton, A; (2016) MERLiN: Mixture Effect Recovery in Linear Networks. IEEE Journal of Selected Topics in Signal Processing , 10 (7) pp. 1254-1266. 10.1109/JSTSP.2016.2601144. Green open access
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Proceedings paper

Arbel, M; Gretton, AL; (2018) Kernel Conditional Exponential Family. In: Proceedings of the 21st International Conference on Artifi- cial Intelligence and Statistics (AISTATS) 2018. (pp. pp. 1337-1346). PMLR Green open access
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Arbel, M; Sutherland, DJ; Bińkowski, M; Gretton, A; (2018) On gradient regularizers for MMD GANs. In: Bengio, S and Wallach, H and Larochelle, H and Grauman, K and Cesa-Bianchi, N and Garnett, R, (eds.) Advances in Neural Information Processing Systems 31 (NIPS 2018). NIPS Proceedings: Montreal, Canada. Green open access
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Bińkowski, M; Sutherland, DJ; Arbel, M; Gretton, A; (2018) Demystifying MMD GANs. In: Bengio, Yoshua and LeCun, Yann, (eds.) Proceedings of ICLR 2018 : International Conference on Learning Representations. ICLR: Vancouver, BC, Canada,. Green open access
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Chwialkowski, K; Strathmann, H; Gretton, A; (2016) A Kernel Test of Goodness of Fit. In: ICML ’16: Proceedings of the 32nd International Conference on Machine Learning. (pp. pp. 2606-2615). JMLR: Workshop and Conference Proceedings Green open access
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Dai, B; Dai, H; Gretton, A; Song, L; Schuurmans, D; He, N; (2019) Kernel Exponential Family Estimation via Doubly Dual Embedding. In: Chaudhuri, K and Sugiyama, M, (eds.) Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics. (pp. pp. 2321-2330). Proceedings of Machine Learning Research: Naha, Okinawa, Japan. Green open access
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Fernández, T; Gretton, A; (2019) A maximum-mean-discrepancy goodness-of-fit test for censored data. In: Chaudhuri, K and Sugiyama, M, (eds.) Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics. (pp. pp. 2966-2975). Proceedings of Machine Learning Research: Naha, Okinawa, Japan. Green open access
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Jitkrittum, W; Gretton, A; Heess, N; Eslami, A; Lakshminarayanan, B; Sejdinovic, D; Szabo, Z; (2015) Just-In-Time Kernel Regression for Expectation Propagation. In: Proceeding of Large-Scale Kernel Learning: Challenges and New Opportunities workshop. : Lille, France. (In press).

Jitkrittum, W; Gretton, A; Heess, N; Eslami, SMA; Lakshminarayanan, B; Sejdinovic, D; Szabó, Z; (2015) Kernel-based just-in-time learning for passing expectation propagation messages. In: Meila, Marina and Heskes, Tom, (eds.) Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence (UAI'15 ). (pp. pp. 405-414). AUAI Press: Virginia, USA. Green open access
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Jitkrittum, W; Sangkloy, P; Schölkopf, B; Kanagawa, H; Hays, J; Gretton, A; (2018) Informative features for model comparison. In: Advances in Neural Information Processing Systems 31 (NIPS 2018). (pp. pp. 808-819). Neural Information Processing Systems Foundation, Inc.: Montréal, Canada. Green open access
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Jitkrittum, W; Szabo, Z; Chwialkowski, K; Gretton, A; (2016) Distinguishing distributions with interpretable features. In: ICML 2016 Workshop on Data-Efficient Machine Learning. : New York, USA. Green open access
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Jitkrittum, W; Szabo, Z; Gretton, A; (2017) An Adaptive Test of Independence with Analytic Kernel Embeddings. In: Proceedings of ICML 2017. (pp. pp. 1742-1751). JMLR: Sydney, Australia. Green open access
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Jitkrittum, W; Xu, W; Szabó, Z; Fukumizu, K; Gretton, A; (2017) A linear-time kernel goodness-of-fit test. In: Guyon, I and Luxburg, U.V. and Bengio, S and Wallach and, H and Furges, R and Vishwanathan, S and Garnett., R, (eds.) Proceedings of Advances in Neural Information Processing Systems 30 (NIPS 2017). NIPS Foundation: CA, USA. (In press). Green open access
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Korshunova, I; Degrave, J; Huszár, F; Gal, Y; Gretton, A; Dambre, J; (2018) Bruno: A deep recurrent model for exchangeable data. In: Advances in Neural Information Processing Systems 31 (NIPS 2018). (pp. pp. 7190-7198). Neural Information Processing Systems Foundation, Inc.: Montréal, Canada. Green open access
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Rubenstein, PK; Chwialkowski, KP; Gretton, A; (2016) A Kernel Test for Three-Variable Interactions with Random Processes. In: UAI ’16: Proceedings of the 32nd International Conference on Uncertainty in Artificial Intelligence. (pp. pp. 637-646). AUAI Press Green open access
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Strathmann, H; Sejdinovic, D; Livingstone, S; Szabo, Z; Gretton, A; (2015) Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families. In: Cortes, C and Lawrence, ND and Lee, DD and Sugiyama, M and Garnett, R, (eds.) Advances in Neural Information Processing Systems 28 (NIPS 2015). NIPS Proceedings Green open access
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Sutherland, DJ; Strathmann, H; Arbel, M; Gretton, A; Efficient and principled score estimation with Nyström kernel exponential families. In: Lawrence, Neil and Reid, Mark, (eds.) Proceedings International Conference on Artificial Intelligence and Statistics - 2018. Proceedings of Machine Learning Research: Playa Blanca, Lanzarote, Canary Islands. Green open access
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Sutherland, DJ; Tung, H-Y; Strathmann, H; De, S; Ramdas, A; Smola, A; Gretton, A; Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy. In: Proceedings of the 5th International Conference on Learning Representations (ICLR 2017). International Conference on Learning Representations: Toulon, France. Green open access
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Szabo, Z; Gretton, A; Poczos, B; Sriperumbudur, B; (2015) Two-stage Sampled Learning Theory on Distributions. In: Lebanon, G and Vishwanathan, SVN, (eds.) Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics. (pp. pp. 948-957). Journal of Machine Learning Research: San Diego, CA, USA. Green open access
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Weichwald, S; Gretton, A; Schölkopf, B; Grosse-Wentrup, M; (2016) Recovery of non-linear cause-effect relationships from linearly mixed neuroimaging data. In: PRNI 2016: 6th International Workshop on Pattern Recognition in Neuroimaging. Institute of Electrical and Electronic Engineers (IEEE) Green open access
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Conference item

Jitkrittum, W; Szabo, Z; Chwialkowski, K; Gretton, A; (2016) Distinguishing distributions with interpretable features. Presented at: International Conference on Machine Learning (ICML): Data-Efficient Machine Learning workshop, New York, USA. Green open access
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Strathmann, H; Sejdinovic, D; Livingston, S; Schuster, I; Lomeli Garcia, M; Szabo, Z; Andrieu, C; (2016) Kernel techniques for adaptive Monte Carlo methods. Presented at: Greek Stochastics Workshop on Big Data and Big Models, Tinos, Greek. Green open access
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Szabo, Z; Gretton, A; Poczos, B; Sriperumbudur, B; (2014) Vector-valued distribution regression: a simple and consistent approach. Presented at: Statistical Science Seminars, London, UK. Green open access
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Szabo, Z; Gretton, A; Póczos, B; Sriperumbudur, B; (2015) Consistent Vector-valued Distribution Regression. Presented at: UCL Workshop on the Theory of Big Data, London, UK. Green open access
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Szabo, Z; Gretton, A; Póczos, B; Sriperumbudur, B; (2014) Distribution Regression - the Set Kernel Heuristic is Consistent. Presented at: CSML Lunch Talk Series, London, UK. Green open access
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Szabo, Z; Gretton, A; Póczos, B; Sriperumbudur, B; (2014) Learning on Distributions. Presented at: Kernel methods for big data workshop, Lille, France. Green open access
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Szabo, Z; Gretton, A; Póczos, B; Sriperumbudur, B; (2014) Consistent Distribution Regression via Mean Embedding. Presented at: University of Hertfordshire, Computer Science Research Colloquium, Hatfield, UK. Green open access
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Szabo, Z; Sriperumbudur, B; Poczos, B; Gretton, A; (2016) Distribution Regression with Minimax-Optimal Guarantee. Presented at: MASCOT-NUM 2016, Toulouse, France. Green open access
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Szabo, Z; Sriperumbudur, B; Poczos, B; Gretton, A; (2015) Learning Theory for Vector-Valued Distribution Regression. Presented at: CMStatistics 2015, London, United Kingdom. Green open access
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Szabo, Z; Sriperumbudur, B; Poczos, B; Gretton, A; (2015) Distribution Regression: Computational and Statistical Tradeoffs. Presented at: CSML Lunch Talk Series, London, United Kingdom. Green open access
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Szabo, Z; Sriperumbudur, B; Poczos, B; Gretton, A; (2015) Distribution Regression: Computational and Statistical Tradeoffs. Presented at: Talk at Princeton University, Princeton, New Jersey. Green open access
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Szabo, Z; Sriperumbudur, B; Poczos, B; Gretton, A; (2015) Regression on Probability Measures: A Simple and Consistent Algorithm. Presented at: CRiSM Seminars, Department of Statistics, University of Warwick, Coventry, United Kingdom. Green open access
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Szabo, Z; Sriperumbudur, B; Poczos, B; Gretton, A; (2015) Vector-valued Distribution Regression - Keep It Simple and Consistent. Presented at: CSML reading group, Department of Statistics, University of Oxford, Oxford, United Kingdom. Green open access
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Szabo, Z; Sriperumbudur, B; Poczos, B; Gretton, A; (2015) A Simple and Consistent Technique for Vector-valued Distribution Regression. Presented at: Invited talk at the Artificial Intelligence and Natural Computation seminars, University of Birmingham, UK. Green open access
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Szabo, Z; Sriperumbudur, B; Poczos, B; Gretton, A; (2015) Consistent Vector-valued Regression on Probability Measures. Presented at: Invited talk at Prof. Bernhard Schölkopf's lab, Tübingen. Green open access
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Poster

Jitkrittum, W; Gretton, A; Heess, N; Eslami, A; Lakshminarayanan, B; Sejdinovic, D; Szabo, Z; (2015) Kernel-Based Just-In-Time Learning for Passing Expectation Propagation Messages. Presented at: Data, Learning and Inference workshop (DALI), La Palma (Canaries, Spain). Green open access
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Jitkrittum, W; Gretton, AL; Heess, N; Eslami, SMA; Lakshminarayanan, B; Sejdinovic, D; Szabó, Z; (2015) Kernel-Based Just-In-Time Learning For Passing Expectation Propagation Messages. Presented at: International Conference on Machine Learning (ICML) - Large-Scale Kernel Learning: Challenges and New Opportunities workshop, Lille, France. Green open access
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Jitkrittum, W; Szabo, Z; Chwialkowski, K; Gretton, A; (2016) Distinguishing distributions with interpretable features. Presented at: International Conference on Machine Learning (ICML): Data-Efficient Machine Learning workshop, New York, USA. Green open access
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Szabo, Z; Gretton, A; Póczos, B; Sriperumbudur, B; (2014) Simple consistent distribution regression on compact metric domains. Presented at: UCL-Duke Workshop on Sensing and Analysis of High-Dimensional Data (SAHD-2014), London, UK. Green open access
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Szabo, Z; Sriperumbudur, B; Poczos, B; Gretton, A; (2016) Optimal Regression on Sets. Presented at: eResearch Domain launch event, London, United Kingdom. Green open access
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Szabo, Z; Sriperumbudur, B; Poczos, B; Gretton, A; (2015) Distribution Regression - Make It Simple and Consistent. Presented at: Data, Learning and Inference workshop (DALI), La Palma (Canaries, Spain). Green open access
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Thesis

Gretton, A; (2003) Kernel Methods for Classification and Signal Separation (PhD thesis). Doctoral thesis , UNSPECIFIED.

This list was generated on Sun Sep 22 06:30:40 2019 BST.