The International Conference on Machine Learning 2013

The International Conference on Machine Learning 2013

The International Conference on Machine Learning 2013 will be held in New York City from June 16-18. This conference is a great opportunity for machine learning researchers and practitioners to share their latest work and ideas.

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The International Conference on Machine Learning (ICML) is one of the premier conferences on machine learning and artificial intelligence.

The goal of ICML is to provide a broad survey of the state of the art in machine learning and artificial intelligence. In addition to the main conference, there will be tutorials, workshops, and special events. ICML is sponsored by the International Machine Learning Society (IMLS).

ICML 2013 was held in Atlanta, Georgia, USA from June 16-21.

The International Conference on Machine Learning (ICML) is the premier gathering of professionals dedicated to the advancement of the branch of computer science known as machine learning. Attendees come from all over the world to share ideas, learn from each other, and advance the state of the art in this exciting and fast-moving field.

ICML 2013 was held in Atlanta, Georgia, USA from June 16-21. The conference featured keynote speeches, conducted by some of the world’s leading authorities on machine learning, as well as oral and poster presentations of cutting-edge work in all areas of machine learning.

The Thirteenth International Conference on Machine Learning (ML) was held in Atlanta, Georgia, USA from June 16 to 21, 2013. The conference featured over 1,200 presentations from some of the world’s leading researchers in the field. Topics of interest included: Data Mining and Statistics, Artificial Intelligence and Robotics, Machine Learning Theory and Methods, Reinforcement Learning, Speech and Language Processing, Bioinformatics and Computational Biology, Multimedia Computing and Computer Vision.

Topics covered at ICML 2013 included machine learning theory, methods, applications, and software.

Topics covered at ICML 2013 included machine learning theory, methods, applications, and software. The conference provided a forum for the presentation and discussion of technical work in all these areas, with an emphasis on practical applications and innovative methods. The papers presented at ICML 2013 spanned a wide range of topics in machine learning, including but not limited to:

-Bayesian inference
-Continuous optimization
-Deep learning
-Explainable AI
-Graphical models
-Kernel methods
-Large-scale learning
-Learning theory
-Limitations of learning models
-Matrix factorization and low rank methods
-Multiarmed bandits and online learning problems
-Natural language processing and text mining
-Novel architectures for machine learning hardware
-Preference learning and collaborative filtering Reinforcement learning Representation learning Sequential prediction Survival analysis Transfer learning

Some of the highlights from ICML 2013 included the keynote speeches, the awards ceremony, and the tutorials and workshops.

The International Conference on Machine Learning (ICML) is the premier gathering of researchers in the field of machine learning. It was held in Atlanta, GA, USA from June 16-21, 2013. Some of the highlights from ICML 2013 included the keynote speeches, the awards ceremony, and the tutorials and workshops.

The keynote speakers at ICML 2013 were:

-Michael I. Jordan (University of California, Berkeley, USA)
-Shai Shalev-Shwartz (Hebrew University, Israel)
-Ian Goodfellow (University of Montreal, Canada)

The awards ceremony was held on the last day of the conference, and the winners were:

-Best Paper Award: “Privacy Preserving Deep Learning” by Abhradeep Guha Thakurta, Clifton Curtis Jr., Felix X. Yu, and Ran Gilad-Bachrach (University of California, Berkeley, USA)
-Best Student Paper Award: “Provable bounds for learning some deep representations” by Christianson et al. (New York University, USA)
-Test of Time Award: “Discovery of Grounded Theory” byABERCROMBIE & HABERMAS(University College London & Max Planck Institute for Psycholinguistics Nijmegen)

In addition to the main conference program, the conference also featured a number of special events, such as the Women in Machine Learning luncheon and the Student Research Competition. The Student Research Competition is an opportunity for students to present their work in front of a panel of experts, and the winner receives a cash prize.

ICML 2013 was a great success and provided attendees with a wealth of information and insights into the latest advances in machine learning.

The International Conference on Machine Learning 2013 (ICML 2013), held in Atlanta, GA, USA from June 16-21, was a resounding success. Sponsored by the Association for Computing Machinery (ACM), ICML is the premier international forum for research on all aspects of machine learning. This year’s conference featured 8 plenary speakers, 627 accepted papers (a 29% acceptance rate), and 5 days of parallel sessions, tutorials, and workshops. The conference also included an awards ceremony, where the best paper and best student paper were announced.

This year’s conference saw a significant increase in attendance, with over 1400 attendees from around the world. The increased interest in machine learning is reflective of the growing importance of this field in both academia and industry. As keynote speaker Geoffrey Hinton remarked in his plenary talk, “machine learning is no longer a niche activity; it is becoming mainstream.”

The papers presented at ICML 2013 covered a wide range of topics in machine learning, including deep learning, kernel methods, online learning, reinforcement learning, graphical models, transfer learning, feature selection, unsupervised learning, semi-supervised learning, inductive logic programming, active learning, and more. In addition to the main track papers, there were also live demos of new systems and applications powered by machine learning algorithms. These demos gave attendees a chance to see machine learning in action and get a better sense of its potential impacts.

Overall, ICML 2013 was a highly successful event that provided attendees with insights into the latest advances in machine learning research.

We would like to thank all of the attendees, speakers, organizers, and sponsors for making ICML 2013 a success.

We would like to thank all of the attendees, speakers, organizers, and sponsors for making ICML 2013 a success. We had nearly 1,700 attendees from 47 countries, making ICML the largest machine learning conference ever. We would also like to congratulate the recipients of this year’s awards:

Best Paper:
“Minimax Regret Bounds for Sequential Decision Making”
Shie Mannor, Nimrod Megiddo, and Mohammad Mehryar

Best Student Paper:
“Parallelized Stochastic Gradient MCMC”
Rajiv Khanna, Han Liu, and Inderjit Dhillon

Outstanding Service Award:
Yoshua Bengio

We look forward to seeing you all at ICML 2014, which will be held in Beijing, China from July 6-11.

The annual International Conference on Machine Learning (ICML) is the leading meeting of professionals interested in machine learning and computational statistics. It attracts a diverse group of international researchers from academia, government, and industry. This year’s conference will be held in Beijing, China from July 6-11.

ICML is the premier gathering of machine learning researchers and practitioners. The conference provides an opportunity to present and exchange ideas on a wide range of topics related to machine learning and its applications.

We look forward to seeing you all at ICML 2014.

For more information on ICML 2013, please visit the conference website: http://www.icml.cc/

The International Conference on Machine Learning (ICML) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence known as machine learning. ICML 2013 will be the 30th annual conference held by the Association for Computing Machinery’s (ACM) Special Interest Group on Artificial Intelligence (SIGAI). It is sponsored by ACM SIGART, ACM SIGCHI, and ACM SIGKDD.

The conference provides a broad survey of machine learning from both a theoretical and applied perspective. On the theory side, ICML focuses on innovative and correct methods with a high potential for causing change and improvement in the field. Submissions that advance state-of-the-art theory in well-understood domains are also encouraged. In addition to traditional theoretical topics, this year’s program will place increased emphasis on innovative applications of machine learning including, but not limited to, natural language processing, information retrieval, sensor data analysis and mining, computational finance and economics, recommender systems, bioinformatics, cheminformatics and drug discovery, computer vision, robotics, databases and data mining, security and privacy issues in data mining as well as other areas where machine learning is having an impact.

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