The method infers latent state representations from observations using neural networks and models the system dynamics in the learned latent space with Gaussian processes. In this short tutorial we present the basic idea on how Gaussian Process models can be used to formulate a … 2. take the first partial derivatives of $L$ w.r.t. The world of Gaussian processes will remain exciting for the foreseeable as research is being done to bring their probabilistic benefits to problems currently dominated by deep learning — sparse and minibatch Gaussian processes increase their scalability to large datasets while deep and convolutional Gaussian processes put high-dimensional and image data within reach. The problem is approached in terms of different methodologies, Bayesian principles, cross-validation, and the leave-one-out estimator. For broader introductions to Gaussian processes, consult [1], [2]. Covariance Function Gaussian Process Marginal Likelihood Posterior Variance Joint Gaussian Distribution These keywords were added by machine and not by the authors. A function vector $\pmb{\mathrm{f}} = [f(\pmb{x}_1), \dots, f(\pmb{x}_n)]^T$ can be drawn from the Gaussian distribution $\pmb{\mathrm{f}} \sim \mathcal{N}\left(\pmb{\mu}, \pmb{\Sigma} \right)$ Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. CE Rasmussen, H Nickisch. In probability theory and statistics, a Gaussian process is a stochastic process, such that every finite collection of those random variables has a multivariate normal distribution, i.e. Chapter 1 provides an introduction to Bayesian modeling. The book is an excellent and comprehensive monograph on the topic of Gaussian approaches in machine learning. Specifically, we apply the models on the monthly M3 time series competition data (around a thousand time series). Book Abstract: Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, (1-4), Li C, Gupta S, Rana S, Nguyen V, Venkatesh S and Shilton A High dimensional Bayesian optimization using dropout Proceedings of the 26th International Joint Conference on Artificial Intelligence, (2096-2102), Xu Z, Kersting K and Ritter L Stochastic online anomaly analysis for streaming time series Proceedings of the 26th International Joint Conference on Artificial Intelligence, (3189-3195), Xiang Q, Zhang J, Nevat I and Zhang P A trust-based mixture of Gaussian processes model for reliable regression in participatory sensing Proceedings of the 26th International Joint Conference on Artificial Intelligence, (3866-3872), Baraldi P, Di Maio F, Al-Dahidi S, Zio E and Mangili F, Portelette L, Roux J, Robin V and Feulvarch E, Ogilvie W, Petoumenos P, Wang Z and Leather H Minimizing the cost of iterative compilation with active learning Proceedings of the 2017 International Symposium on Code Generation and Optimization, (245-256), Albrecht S and Stone P Reasoning about Hypothetical Agent Behaviours and their Parameters Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, (547-555), Xiang Q, Zhang J, Nevat I and Zhang P A Trust-based Mixture of Gaussian Processes Model for Robust Participatory Sensing Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, (1760-1762), Liu X, Khankan A, Alsioufi M, He Z and Ngai E Poster: Cloud-Based Data Fusion in GreenIoT for Smart Cities Proceedings of the 2017 International Conference on Embedded Wireless Systems and Networks, (216-217), Pagán J, Moya J, Risco-Martín J and Ayala J Advanced migraine prediction simulation system Proceedings of the Summer Simulation Multi-Conference, (1-12), Dutordoir V, Knudde N, van der Herten J, Couckuyt I and Dhaene T Deep gaussian process metamodeling of sequentially sampled non-stationary response surfaces Proceedings of the 2017 Winter Simulation Conference, (1-12), Chen X, Hemmati S and Yang F Stochastic co-kriging for steady-state simulation metamodeling Proceedings of the 2017 Winter Simulation Conference, (1-12), Singh P and Hellander A Surrogate assisted model reduction for stochastic biochemical reaction networks Proceedings of the 2017 Winter Simulation Conference, (1-11), Huang Z, Lam H and Zhao D Sequential experimentation to efficiently test automated vehicles Proceedings of the 2017 Winter Simulation Conference, (1-12), Xie G and Chen X A heteroscedastic T-process simulation metamodeling approach and its application in inventory control and optimization Proceedings of the 2017 Winter Simulation Conference, (1-12), Oates C, Niederer S, Lee A, Briol F and Girolami M Probabilistic models for integration error in the assessment of functional cardiac models Proceedings of the 31st International Conference on Neural Information Processing Systems, (109-117), Liu J and Coull B Robust hypothesis test for nonlinear effect with Gaussian processes Proceedings of the 31st International Conference on Neural Information Processing Systems, (795-803), Ambrogioni L, Hinne M, van Gerven M and Maris E GP CaKe Proceedings of the 31st International Conference on Neural Information Processing Systems, (951-960), Jidling C, Wahlstrom N, Wills A and Schön T Linearly constrained Gaussian processes Proceedings of the 31st International Conference on Neural Information Processing Systems, (1215-1224), Schulam P and Saria S Reliable decision support using counterfactual models Proceedings of the 31st International Conference on Neural Information Processing Systems, (1696-1706), Acerbi L and Ma W Practical Bayesian optimization for model fitting with Bayesian adaptive direct search Proceedings of the 31st International Conference on Neural Information Processing Systems, (1834-1844), Lam R and Willcox K Lookahead Bayesian optimization with inequality constraints Proceedings of the 31st International Conference on Neural Information Processing Systems, (1888-1898), Ciliberto C, Rudi A, Rosasco L and Pontil M Consistent multitask learning with nonlinear output relations Proceedings of the 31st International Conference on Neural Information Processing Systems, (1983-1993), McInerney J An empirical bayes approach to optimizing machine learning algorithms Proceedings of the 31st International Conference on Neural Information Processing Systems, (2709-2718), Bui T, Nguyen C and Turner R Streaming sparse Gaussian process approximations Proceedings of the 31st International Conference on Neural Information Processing Systems, (3301-3309), Vellanki P, Rana S, Gupta S, Rubin D, Sutti A, Dorin T, Height M, Sandars P and Venkatesh S Process-constrained batch Bayesian optimisation Proceedings of the 31st International Conference on Neural Information Processing Systems, (3417-3426), Alaa A and van der Schaar M Bayesian inference of individualized treatment effects using multi-task Gaussian processes Proceedings of the 31st International Conference on Neural Information Processing Systems, (3427-3435), Wu A, Roy N, Keeley S and Pillow J Gaussian process based nonlinear latent structure discovery in multivariate spike train data Proceedings of the 31st International Conference on Neural Information Processing Systems, (3499-3508), Ding Y, Kondor R and Eskreis-Winkler J Multiresolution kernel approximation for Gaussian process regression Proceedings of the 31st International Conference on Neural Information Processing Systems, (3743-3751), Jang P, Loeb A, Davidow M and Wilson A Scalable lévy process priors for spectral kernel learning Proceedings of the 31st International Conference on Neural Information Processing Systems, (3943-3952), Poloczek M, Wang J and Frazier P Multi-information source optimization Proceedings of the 31st International Conference on Neural Information Processing Systems, (4291-4301), Salimbeni H and Deisenroth M Doubly stochastic variational inference for deep Gaussian processes Proceedings of the 31st International Conference on Neural Information Processing Systems, (4591-4602), Remes S, Heinonen M and Kaski S Non-stationary spectral kernels Proceedings of the 31st International Conference on Neural Information Processing Systems, (4645-4654), Sheth R and Khardon R Excess risk bounds for the bayes risk using variational inference in latent Gaussian models Proceedings of the 31st International Conference on Neural Information Processing Systems, (5157-5167), Wu J, Poloczek M, Wilson A and Frazier P Bayesian optimization with gradients Proceedings of the 31st International Conference on Neural Information Processing Systems, (5273-5284), Killian T, Daulton S, Konidaris G and Doshi-Velez F Robust and efficient transfer learning with hidden parameter Markov decision processes Proceedings of the 31st International Conference on Neural Information Processing Systems, (6251-6262), Dong K, Eriksson D, Nickisch H, Bindel D and Wilson A Scalable log determinants for Gaussian process kernel learning Proceedings of the 31st International Conference on Neural Information Processing Systems, (6330-6340), Parra G and Tobar F Spectral mixture kernels for multi-output Gaussian processes Proceedings of the 31st International Conference on Neural Information Processing Systems, (6684-6693), Gallagher N, Ulrich K, Talbot A, Dzirasa K, Carin L and Carlson D Cross-spectral factor analysis Proceedings of the 31st International Conference on Neural Information Processing Systems, (6845-6855), Vu T and Parker D Extracting urban microclimates from electricity bills Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, (4538-4544), You J, Li X, Low M, Lobell D and Ermon S Deep Gaussian process for crop yield prediction based on remote sensing data Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, (4559-4565), Zhang H, Zhou S, Zhang K and Guan J Causal discovery using regression-based conditional independence tests Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, (1250-1256), Alaa A, Hu S and van der Schaar M Learning from clinical judgments Proceedings of the 34th International Conference on Machine Learning - Volume 70, (60-69), Chen Y, Hoffman M, Colmenarejo S, Denil M, Lillicrap T, Botvinick M and de Freitas N Learning to learn without gradient descent by gradient descent Proceedings of the 34th International Conference on Machine Learning - Volume 70, (748-756), Chowdhury S and Gopalan A On kernelized multi-armed bandits Proceedings of the 34th International Conference on Machine Learning - Volume 70, (844-853), Cutajar K, Bonilla E, Michiardi P and Filippone M Random feature expansions for Deep Gaussian Processes Proceedings of the 34th International Conference on Machine Learning - Volume 70, (884-893), Daxberger E and Low B Distributed batch Gaussian process optimization Proceedings of the 34th International Conference on Machine Learning - Volume 70, (951-960), Futoma J, Hariharan S and Heller K Learning to detect sepsis with a multitask Gaussian process RNN classifier Proceedings of the 34th International Conference on Machine Learning - Volume 70, (1174-1182), González J, Dai Z, Damianou A and Lawrence N Preferential Bayesian optimization Proceedings of the 34th International Conference on Machine Learning - Volume 70, (1282-1291), Jenatton R, Archambeau C, Gonzalez J and Seeger M Bayesian optimization with tree-structured dependencies Proceedings of the 34th International Conference on Machine Learning - Volume 70, (1655-1664), Kandasamy K, Dasarathy G, Schneider J and Póczos B Multi-fidelity Bayesian optimisation with continuous approximations Proceedings of the 34th International Conference on Machine Learning - Volume 70, (1799-1808), Lyu Y Spherical structured feature maps for kernel approximation Proceedings of the 34th International Conference on Machine Learning - Volume 70, (2256-2264), Palla K, Knowles D and Ghahramani Z A birth-death process for feature allocation Proceedings of the 34th International Conference on Machine Learning - Volume 70, (2751-2759), Pan Y, Yan X, Theodorou E and Boots B Prediction under uncertainty in Sparse Spectrum Gaussian Processes with applications to filtering and control Proceedings of the 34th International Conference on Machine Learning - Volume 70, (2760-2768), Peng H, Zhe S, Zhang X and Qi Y Asynchronous Distributed Variational Gaussian Process for regression Proceedings of the 34th International Conference on Machine Learning - Volume 70, (2788-2797), Umlauft J and Hirche S Learning stable stochastic nonlinear dynamical systems Proceedings of the 34th International Conference on Machine Learning - Volume 70, (3502-3510), Villacampa-Calvo C and Hernandez-Lobato D Scalable multi-class Gaussian process classification using expectation propagation Proceedings of the 34th International Conference on Machine Learning - Volume 70, (3550-3559), Walder C and Bishop A Fast Bayesian intensity estimation for the permanental process Proceedings of the 34th International Conference on Machine Learning - Volume 70, (3579-3588), Wang Z and Jegelka S Max-value entropy search for efficient Bayesian Optimization Proceedings of the 34th International Conference on Machine Learning - Volume 70, (3627-3635), Wei P, Sagarna R, Ke Y, Ong Y and Goh C Source-target similarity modelings for multi-source transfer Gaussian process regression Proceedings of the 34th International Conference on Machine Learning - Volume 70, (3722-3731), Luo C and Sun S Variational mixtures of Gaussian processes for classification Proceedings of the 26th International Joint Conference on Artificial Intelligence, (4603-4609), De G. Matthews A, Van Der Wilk M, Nickson T, Fujii K, Boukouvalas A, León-Villagrá P, Ghahramani Z and Hensman J, Vinogradska J, Bischoff B, Nguyen-Tuong D and Peters J, Andersen M, Vehtari A, Winther O and Hansen L, Al-Shedivat M, Wilson A, Saatchi Y, Hu Z and Xing E, Baydin A, Pearlmutter B, Radul A and Siskind J, Carbajal J, Leito J, Albert C and Rieckermann J, Gonzalez-Navarro P, Moghadamfalahi M, Akcakaya M and Erdogmus D, Ariizumi R, Tesch M, Kato K, Choset H and Matsuno F, Liu S, Maljovec D, Wang B, Bremer P and Pascucci V, Gai M, Mrki N, Rojas-Barahona L, Su P, Ultes S, Vandyke D, Wen T and Young S, Mayfield H, Smith C, Gallagher M and Hockings M, Gauchi J, Bensadoun A, Colas F and Colbach N, Benamara T, Breitkopf P, Lepot I, Sainvitu C and Villon P, Verma M, Thirumalaiselvi A and Rajasankar J, Li T, Zeng C, Zhou W, Xue W, Huang Y, Liu Z, Zhou Q, Xia B, Wang Q, Wang W and Zhu X, Kupcsik A, Deisenroth M, Peters J, Loh A, Vadakkepat P and Neumann G, Cotronei M, Di Salvo R, Holschneider M and Puccio L, Maniruzzaman M, Kumar N, Menhazul Abedin M, Shaykhul Islam M, Suri H, El-Baz A and Suri J, Khatami M, Schmidt-Wilcke T, Sundgren P, Abbasloo A, Schlkopf B and Schultz T, Montavon G, Lapuschkin S, Binder A, Samek W and Müller K, Akusok A, Gritsenko A, Miche Y, Björk K, Nian R, Lauren P and Lendasse A, Mehari M, De Poorter E, Couckuyt I, Deschrijver D, Vermeeren G, Plets D, Joseph W, Martens L, Dhaene T and Moerman I, Housseyni W, Mosbahi O, Khalgui M and Chetto M Real-Time Scheduling of Reconfigurable Distributed Embedded Systems with Energy Harvesting Prediction Proceedings of the 20th International Symposium on Distributed Simulation and Real-Time Applications, (145-152), Jonsson I, Leifsson L, Koziel S, Tesfahunegn Y and Bekasiewicz A, Pintea S, Karaoğlu S, van Gemert J and Smeulders A, Mu S, Chang W, Chao M, Wang Y, Chang M and Tsai M Statistical methodology to identify optimal placement of on-chip process monitors for predicting fmax Proceedings of the 35th International Conference on Computer-Aided Design, (1-8), Xiong X, Filippone M and Vinciarelli A Looking Good With Flickr Faves Proceedings of the 24th ACM international conference on Multimedia, (412-415), Hwang S, Kim S, He Y, Elnikety S and Choi S, Pivarski J, Bennett C and Grossman R Deploying Analytics with the Portable Format for Analytics (PFA) Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (579-588), An B, Chen H, Park N and Subrahmanian V MAP Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (421-430), Lane F, Azad R and Ryan C Principled Evolutionary Algorithm Design and the Kernel Trick Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion, (149-150), Safarzadegan Gilan S, Goyal N and Dilkina B Active Learning in Multi-objective Evolutionary Algorithms for Sustainable Building Design Proceedings of the Genetic and Evolutionary Computation Conference 2016, (589-596), Pagán J, Risco-Martín J, Moya J and Ayala J Grammatical Evolutionary Techniques for Prompt Migraine Prediction Proceedings of the Genetic and Evolutionary Computation Conference 2016, (973-980), Belzner L, Beck M, Gabor T, Roelle H and Sauer H Software engineering for distributed autonomous real-time systems Proceedings of the 2nd International Workshop on Software Engineering for Smart Cyber-Physical Systems, (54-57), Zou B, Lampos V, Gorton R and Cox I On Infectious Intestinal Disease Surveillance using Social Media Content Proceedings of the 6th International Conference on Digital Health Conference, (157-161), Barbot B, Kwiatkowska M, Mereacre A and Paoletti N Building Power Consumption Models from Executable Timed I/O Automata Specifications Proceedings of the 19th International Conference on Hybrid Systems: Computation and Control, (195-204), Sesma-Sanchez L, Zhang Y, Bulling A and Gellersen H Gaussian processes as an alternative to polynomial gaze estimation functions Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications, (229-232), Ge H, Caverlee J, Zhang N and Squicciarini A Uncovering the Spatio-Temporal Dynamics of Memes in the Presence of Incomplete Information Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, (1493-1502), Stojanovic J, Gligorijevic D and Obradovic Z Modeling Customer Engagement from Partial Observations Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, (1403-1412), Trumble M, Gilbert A, Hilton A and Collomosse J Deep Convolutional Networks for Marker-less Human Pose Estimation from Multiple Views Proceedings of the 13th European Conference on Visual Media Production (CVMP 2016), (1-9), Tian J, Li Y and Xiong H Compressed Video Coding with Multi-Kernel Gaussian Process Regression Proceedings of the International Conference on Internet Multimedia Computing and Service, (43-47), Dey A and Harit G Generating synthetic handwriting using n-gram letter glyphs Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing, (1-8), Radanovic G and Faltings B Limiting the Influence of Low Quality Information in Community Sensing Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, (873-881), Bottarelli L, Bicego M, Blum J and Farinelli A Skeleton-based orienteering for level set estimation Proceedings of the Twenty-second European Conference on Artificial Intelligence, (1256-1264), Doshi-Velez F and Konidaris G Hidden parameter markov decision processes Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, (1432-1440), Zhang Y, Henao R, Li C and Carin L Bayesian dictionary learning with Gaussian processes and sigmoid belief networks Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, (2364-2370), Bottegal G, Aravkin A, Hjalmarsson H and Pillonetto G, O'Sullivan A, Pereira F, Zhao J and Koutsopoulos H, Son J, Gupta S and Tan G Bayesian Optimization in High Dimensional Input Space Proceedings of the 9th EAI International Conference on Simulation Tools and Techniques, (18-27), Zhang X and Zou L Simulation metamodeling in the presence of model inadequacy Proceedings of the 2016 Winter Simulation Conference, (566-577), Van Steenkiste T, van der Herten J, Couckuyt I and Dhaene T Sensitivity analysis of expensive black-box systems using metamodeling Proceedings of the 2016 Winter Simulation Conference, (578-589), Poloczek M, Wang J and Frazier P Warm starting Bayesian optimization Proceedings of the 2016 Winter Simulation Conference, (770-781), Meng Q and Ng S Combined global and local method for stochastic simulation optimization with an AGLGP model Proceedings of the 2016 Winter Simulation Conference, (827-838), Rainforth T, Le T, van de Meent J, Osborne M and Wood F Bayesian optimization for probabilistic programs Proceedings of the 30th International Conference on Neural Information Processing Systems, (280-288), Lam R, Willcox K and Wolpert D Bayesian optimization with a finite budget Proceedings of the 30th International Conference on Neural Information Processing Systems, (883-891), Kandasamy K, Dasarathy G, Oliva J, Schneider J and Póczos B Gaussian process bandit optimisation with multi-fidelity evaluations Proceedings of the 30th International Conference on Neural Information Processing Systems, (1000-1008), Bogunovic I, Scarlett J, Krause A and Cevher V Truncated variance reduction Proceedings of the 30th International Conference on Neural Information Processing Systems, (1515-1523), Bauer M, van der Wilk M and Rasmussen C Understanding probabilistic sparse Gaussian process approximations Proceedings of the 30th International Conference on Neural Information Processing Systems, (1533-1541), Silva R Observational-interventional priors for dose-response learning Proceedings of the 30th International Conference on Neural Information Processing Systems, (1569-1577), Wilson A, Hu Z, Salakhutdinov R and Xing E Stochastic variational deep kernel learning Proceedings of the 30th International Conference on Neural Information Processing Systems, (2594-2602), Malkomes G, Schaff C and Garnett R Bayesian optimization for automated model selection Proceedings of the 30th International Conference on Neural Information Processing Systems, (2900-2908), Wu J and Frazier P The parallel knowledge gradient method for batch Bayesian optimization Proceedings of the 30th International Conference on Neural Information Processing Systems, (3134-3142), Kanagawa M, Sriperumbudur B and Fukumizu K Convergence guarantees for kernel-based quadrature rules in misspecified settings Proceedings of the 30th International Conference on Neural Information Processing Systems, (3296-3304), Savin C and Tkačik G Estimating nonlinear neural response functions using GP priors and Kronecker methods Proceedings of the 30th International Conference on Neural Information Processing Systems, (3610-3618), Schulz E, Tenenbaum J, Duvenaud D, Speekenbrink M and Gershman S Probing the compositionality of intuitive functions Proceedings of the 30th International Conference on Neural Information Processing Systems, (3736-3744), Lepora N Threshold learning for optimal decision making Proceedings of the 30th International Conference on Neural Information Processing Systems, (3763-3771), Senanayake R, Ott L, O'Callaghan S and Ramos F Spatio-temporal hilbert maps for continuous occupancy representation in dynamic environments Proceedings of the 30th International Conference on Neural Information Processing Systems, (3925-3933), Kingravi H, Maske H and Chowdhary G Kernel observers Proceedings of the 30th International Conference on Neural Information Processing Systems, (3997-4005), Kathuria T, Deshpande A and Kohli P Batched Gaussian process bandit optimization via determinantal point processes Proceedings of the 30th International Conference on Neural Information Processing Systems, (4213-4221), Turchetta M, Berkenkamp F and Krause A Safe exploration in finite Markov decision processes with Gaussian processes Proceedings of the 30th International Conference on Neural Information Processing Systems, (4312-4320), McIntire M, Ratner D and Ermon S Sparse Gaussian processes for Bayesian optimization Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, (517-526), Teymur O, Zygalakis K and Calderhead B Probabilistic linear multistep methods Proceedings of the 30th International Conference on Neural Information Processing Systems, (4321-4328), Norouzi-Fard A, Bazzi A, El Halabi M, Bogunovic I, Hsieh Y and Cevher V An efficient streaming algorithm for the submodular cover problem Proceedings of the 30th International Conference on Neural Information Processing Systems, (4500-4508), Cai M, Schuck N, Pillow J and Niv Y A Bayesian method for reducing bias in neural representational similarity analysis Proceedings of the 30th International Conference on Neural Information Processing Systems, (4958-4966), Wang Y, Li B, Fan X, Wang Y and Chen F Bayesian optimization of partition layouts for mondrian processes Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, (2160-2166), Flaxman S, Sejdinovic D, Cunningham J and Filippi S Bayesian learning of kernel embeddings Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, (182-191), Wei H, Lu W, Zhu P, Ferrari S, Liu M, Klein R, Omidshafiei S and How J, Kersting H and Hennig P Active uncertainty calibration in Bayesian ODE solvers Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, (309-318), Clever D, Harant M, Koch H, Mombaur K and Endres D, Calandra R, Seyfarth A, Peters J and Deisenroth M, Pagán J, Risco-Martín J, Moya J and Ayala J, Zaytsev A Variable Fidelity Regression Using Low Fidelity Function Blackbox and Sparsification Proceedings of the 5th International Symposium on Conformal and Probabilistic Prediction with Applications - Volume 9653, (147-164), Kuleshov A and Bernstein A Extended Regression on Manifolds Estimation Proceedings of the 5th International Symposium on Conformal and Probabilistic Prediction with Applications - Volume 9653, (208-228), Wistuba M, Schilling N and Schmidt-Thieme L Two-Stage Transfer Surrogate Model forźAutomatic Hyperparameter Optimization European Conference on Machine Learning and Knowledge Discovery in Databases - Volume 9851, (199-214), Srijith P, Balamurugan P and Shevade S Gaussian Process Pseudo-Likelihood Models forźSequence Labeling European Conference on Machine Learning and Knowledge Discovery in Databases - Volume 9851, (215-231), Schilling N, Wistuba M and Schmidt-Thieme L Scalable Hyperparameter Optimization with Products of Gaussian Process Experts European Conference on Machine Learning and Knowledge Discovery in Databases - Volume 9851, (33-48), Cai Z, Wu Q, Huang D, Ding L, Yu B, Law R, Huang J and Fu S, Li W, Viola F, Starck J, Brostow G and Campbell N, Lévesque J, Gagné C and Sabourin R Bayesian hyperparameter optimization for ensemble learning Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, (437-446), Xiang Q, Nevat I, Zhang P and Zhang J Collusion-resistant spatial phenomena crowdsourcing via mixture of Gaussian processes regression Proceedings of the 18th International Conference on Trust in Agent Societies - Volume 1578, (30-41), Zenonos A, Stein S and Jennings N Coordinating Measurements for Air Pollution Monitoring in Participatory Sensing Settings Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, (493-501), Ramchurn S, Huynh T, Ikuno Y, Flann J, Wu F, Moreau L, Jennings N, Fischer J, Jiang W, Rodden T, Simpson E, Reece S and Roberts S HAC-ER Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, (533-541), Teacy W, Julier S, De Nardi R, Rogers A and Jennings N Observation Modelling for Vision-Based Target Search by Unmanned Aerial Vehicles Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, (1607-1614), Wiedenbeck B and Wellman M Learning Payoffs in Large Symmetric Games Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, (1881-1882), Feldt R and Poulding S Broadening the search in search-based software testing Proceedings of the Eighth International Workshop on Search-Based Software Testing, (1-7), Blanton R, Li X, Mai K, Marculescu D, Marculescu R, Paramesh J, Schneider J and Thomas D Statistical Learning in Chip (SLIC) Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, (664-669), Reverdy C, Gibet S and Larboulette C Optimal marker set for motion capture of dynamical facial expressions Proceedings of the 8th ACM SIGGRAPH Conference on Motion in Games, (31-36), Li H, Chowdhury A, Terejanu G, Chanda A and Banerjee S A stacked gaussian process for predicting geographical incidence of aflatoxin with quantified uncertainties Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, (1-4), Oh H, Yang H and Yi K Learning a strategy for adapting a program analysis via bayesian optimisation Proceedings of the 2015 ACM SIGPLAN International Conference on Object-Oriented Programming, Systems, Languages, and Applications, (572-588), Madsen J, Jensen B and Larsen J Learning Combinations of Multiple Feature Representations for Music Emotion Prediction Proceedings of the 1st International Workshop on Affect & Sentiment in Multimedia, (3-8), Wahlberg F, Mårtensson L and Brun A Large scale style based dating of medieval manuscripts Proceedings of the 3rd International Workshop on Historical Document Imaging and Processing, (107-114), March W, Xiao B, Tharakan S, Yu C and Biros G A kernel-independent FMM in general dimensions Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, (1-12), Humberston B and Pai D Hands on Proceedings of the 14th ACM SIGGRAPH / Eurographics Symposium on Computer Animation, (63-72), Holden D, Saito J and Komura T Learning an inverse rig mapping for character animation Proceedings of the 14th ACM SIGGRAPH / Eurographics Symposium on Computer Animation, (165-173), Buschek D, De Luca A and Alt F There is more to Typing than Speed Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services, (125-130), Yuan C, Behmann M and Meerbeck B Gas Concentration Reconstruction for Coal-Fired Boilers Using Gaussian Process Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (2247-2256), Zhou Z and Matteson D Predicting Ambulance Demand Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (2297-2303), Vanchinathan H, Marfurt A, Robelin C, Kossmann D and Krause A Discovering Valuable items from Massive Data Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (1195-1204), Flaxman S, Wang Y and Smola A Who Supported Obama in 2012?