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Loss function
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#	Item
51	Microsoft Word - NEW14.docx Add to Reading List Source URL: agecon2.tamu.edu Language: English - Date: 2013-08-28 17:05:38 Decision theory Operations research Financial economics Mathematical finance Utility Exponential utility Stochastic programming Loss function Covariance Expected value Normal distribution Expected utility hypothesis
52	Learning with Marginalized Corrupted Features Laurens van der Maaten Delft University of Technology, Mekelweg 4, 2628 CD Delft, THE NETHERLANDS Minmin Chen Add to Reading List Source URL: lvdmaaten.github.io Language: English - Date: 2016-07-16 15:30:43 Statistical classification Probability distributions Exponentials Machine learning Linear classifier Pattern recognition Support vector machine Deep learning Natural exponential family Poisson distribution Normal distribution Loss function
53	Published as a conference paper at ICLRA DAM : A M ETHOD FOR S TOCHASTIC O PTIMIZATION Diederik P. Kingma* University of Amsterdam Add to Reading List Source URL: arxiv.org Language: English - Date: 2015-07-26 20:01:45 M-estimators Computational statistics Computational neuroscience Estimation theory Stochastic optimization Stochastic gradient descent Deep learning Artificial neural network Convolutional neural network Mathematical optimization Loss function Feature learning
54	PDF Document Add to Reading List Source URL: thomas.deselaers.de Language: English - Date: 2014-10-11 09:29:37 Statistical classification Support vector machines Machine learning Computational linguistics Hinge loss Speech recognition Finite-state transducer Semiring Valuation Loss function Pattern recognition
55	Microsoft Word - discussion.doc Add to Reading List Source URL: www.ericswanson.us Language: English - Date: 2012-07-30 14:56:19 Decision theory Prior probability Loss function Minimax
56	Microsoft Word - IBSNew_Trends_in_iTECH-final Add to Reading List Source URL: foibg.com Language: English - Date: 2015-02-02 08:46:12 Machine learning Statistical classification Actuarial science Formal sciences Statistical theory Risk Linear classifier Pattern recognition Statistics Expected value Loss function Value at risk
57	Scaling SVM and Least Absolute Deviations via Exact Data Reduction Add to Reading List Source URL: peterwonka.net Language: English - Date: 2014-10-11 17:13:54 Statistical classification Statistical theory Econometrics Regression analysis Support vector machine Loss function Elastic net regularization
58	Energetic Natural Gradient Descent Philip S. Thomas Bruno Castro da Silva Christoph Dann Emma Brunskill Add to Reading List Source URL: psthomas.com Language: English - Date: 2016-05-27 10:07:35 Statistical theory Estimation theory Parametric model Loss function Fisher information Expectationmaximization algorithm Divergence
59	Inverse Reinforcement Learning through Structured Classification Edouard Klein1,2 LORIA – team ABC Nancy, France Add to Reading List Source URL: www.ilhaire.eu Language: English - Date: 2012-12-24 07:54:32 Statistical classification Dynamic programming Stochastic control Computational neuroscience Reinforcement learning Loss function Markov decision process Artificial neural network Support vector machine Expected value Valuation Stochastic programming
60	Payment Rules through Discriminant-Based Classifiers ´ ¨ PAUL DUTTING , Ecole Polytechnique F´ed´erale de Lausanne, Switzerland Add to Reading List Source URL: paulduetting.com Language: English - Date: 2012-10-30 16:18:44 Statistical theory Econometrics Decision theory Loss function Strategyproofness