技術のキャッチアップ

[KuangyiZhu]

例年のKDDのTutorialからキャッチアップをする

• [x] http://dblp1.uni-trier.de/db/conf/kdd/kdd2015.html
• [x] http://dblp1.uni-trier.de/db/conf/kdd/kdd2014.html
• [x] http://dblp1.uni-trier.de/db/conf/kdd/kdd2013.html
• [x] http://dblp1.uni-trier.de/db/conf/kdd/kdd2012.html

ICML Tutorial

• [x] ICML 2012 http://icml.cc/2012/tutorials/
• [x] ICML 2013 http://icml.cc/2013/?page_id=39
• [x] ICML 2014 http://icml.cc/2014/index/article/17.htm
• [x] ICML 2015 http://icml.cc/2015/?page_id=97

[KuangyiZhu]

Title	Conference	Importance	Finished
Statistical Learning Theory in Reinforcement Learning and Approximate Dynamic Programming	ICML 2012	3	OK
Performance Evaluation for Learning Algorithms: Techniques, Application and Issues	ICML2012	1	OK
Probabilistic Topic Models	ICML2012	1	OK
Mirror Descent and Saddle Point First Order Algorithms	ICML2012	3	OK
Prediction, Belief, and Markets	ICML2012	2	OK
Representation Learning	ICML2012	2	OK
PAC-Bayesian Analysis in Supervised, Unsupervised, and Reinforcement Learning	ICML2012	2	OK
Causal Inference – Conditional Independence and Beyond	ICML2012	3	OK
Spectral Approaches to Learning Latent Variable Models	ICML2012	2	OK
Submodularity in Machine Learning: New Directions	ICML2013	2	OK
Deep Learning	ICML2013	2	OK
Tensor Decomposition Algorithms for Latent Variable Model Estimation	ICML2013	3	OK
Multi-Target Prediction	ICML2013	1	OK
Topological Data Analysis	ICML2013	3	OK
Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of Data	ICML2013	3	OK
Copulas in Machine Learning	ICML2013	3	OK
Music Information Research Based on Machine Learning	ICML2013	3	OK
Bayesian Posterior Inference in the Big Data Arena	ICML2014	3	OK
Frank-Wolfe and Greedy Optimization for Learning with Big Data	ICML2014	3	OK
Finding Structure with Randomness: Stochastic Algorithms for Numerical Linear Algebra	ICML2014	1	OK
An introduction to probabilistic programming	ICML2014	3	OK
Deep Learning: from Speech Analysis and Recognition to Language and Multi-modal Processing	ICML2014	2	OK
Advances in Structured Prediction	ICML2015	3	OK
Bayesian Time Series Modeling: Structured Representations for Scalability	ICML2015	2	OK
Natural Language Understanding: Foundations and State-of-the-Art	ICML2015	3	OK
Policy Search: Methods and Applications	ICML2015	3	OK
Modern Convex Optimization Methods for Large-scale Empirical Risk Minimization	ICML2015	2	OK
Computational Social Science	ICML2015	2	OK

[KuangyiZhu]

Title	Conference	Importance	Finished
Information and Influence Spread in Social Networks	KDD2012	3	OK
Graphical Models	KDD2012	3	OK
Prediction, Belief, and Markets	KDD2012	2	OK
Factorization Models for Recommender Systems and Other Applications	KDD2012	2	OK
Data mining in streams	KDD2012	3	OK
Learning to Rank and Its Applications in Web Search and Online Advertising	KDD2012	2	OK
Algorithmic techniques for modeling and mining large graphs	KDD2013	3	OK
Mining data from mobile devices: a survey of smart sensing and analytics	KDD2013	3	OK
Entity resolution for big data	KDD2013	3	OK
The dataminer's guide to scalable mixed-membership and nonparametric bayesian models	KDD2013	2	OK
Scaling up deep learning. 1966	KDD2014	2	OK
Constructing and mining web-scale knowledge graphs	KDD2014	2	OK
Bringing structure to text: mining phrases, entities, topics, and hierarchies	KDD2014	2	OK
Management and analytic of biomedical big data with cloud-based in-memory database and dynamic querying: a hands-on experience with real-world data	KDD2014	3	OK
The recommender problem revisited: morning tutorial.	KDD2014	1	OK
Correlation clustering: from theory to practice.	KDD2014	1	OK
Deep learning.	KDD2014	2	OK
Network mining and analysis for social applications.	KDD2014	2	OK
Sampling for big data: a tutorial.	KDD2014	2	OK
Statistically sound pattern discovery. 1976	KDD2014	3	OK
Recommendation in social media: recent advances and new frontiers.	KDD2014	2	OK
Web Personalization and Recommender Systems.	KDD2015	2	OK
Graph-Based User Behavior Modeling: From Prediction to Fraud Detection.	KDD2015	2	OK
Data-Driven Product Innovation.	KDD2015	3	OK
Dense Subgraph Discovery: KDD 2015 tutorial.	KDD2015	3	OK
Diffusion in Social and Information Networks: Research Problems, Probabilistic Models and Machine Learning Methods.	KDD2015	2	OK
Social Media Anomaly Detection: Challenges and Solutions.	KDD2015	3	OK
Automatic Entity Recognition and Typing from Massive Text Corpora: A Phrase and Network Mining Approach.	KDD2015	3	OK
VC-Dimension and Rademacher Averages: From Statistical Learning Theory to Sampling Algorithms.	KDD2015	1	OK
Large Scale Distributed Data Science using Apache Spark.	KDD2015	2	OK
Medical Mining: KDD 2015 Tutorial.	KDD2015	3	OK
Big Data Analytics: Optimization and Randomization.	KDD2015	2	OK