The WGBH Forum Network is an audio and video streaming Website dedicated to curating and serving live and on-demand lectures given by some of the world's foremost scholars, authors, artists, scientists, policy makers and community leaders. These events ar
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הארכיון הוא פרויקט ראשון מסוגו בשפה העברית: אתר המציע האזנה מקוונת ללא תשלום ליצירות פרוזה ושירה שנכתבו בעברית מודרנית וקלאסית. ההקלטה נעשתה ע"י קריינים מקצועיים ואמנים מתחומים שונים.
Here's what INTE 4320/5320 Games and Learning is reading during the Spring 2016 semester. A few practical notes: The links below - to both websites and PDFs hosted through this blog - guide our social annotation via Hypothesis. Students and visitors alike are encouraged to use these links as the primary means of navigating to -…
A. Achille, and S. Soatto. (2017)cite arxiv:1706.01350Comment: Deep learning, neural network, representation, flat minima, information bottleneck, overfitting, generalization, sufficiency, minimality, sensitivity, information complexity, stochastic gradient descent, regularization, total correlation, PAC-Bayes.
M. Aldridge, O. Johnson, and J. Scarlett. (2019)cite arxiv:1902.06002Comment: Survey paper, 140 pages, 19 figures. To be published in Foundations and Trends in Communications and Information Theory.
S. Amari, R. Karakida, and M. Oizumi. Proceedings of Machine Learning Research, volume 89 of Proceedings of Machine Learning Research, page 694--702. PMLR, (16--18 Apr 2019)
J. Brehmer, G. Louppe, J. Pavez, and K. Cranmer. (2018)cite arxiv:1805.12244Comment: Code available at https://github.com/johannbrehmer/simulator-mining-example . v2: Fixed typos. v3: Expanded discussion, added Lotka-Volterra example. v4: Improved clarity.
M. Brennan, and G. Bresler. (2020)cite arxiv:2005.08099Comment: 175 pages; subsumes preliminary draft arXiv:1908.06130; accepted for presentation at the Conference on Learning Theory (COLT) 2020.
D. Burt, C. Rasmussen, and M. Van Der Wilk. Proceedings of the 36th International Conference on Machine Learning, volume 97 of Proceedings of Machine Learning Research, page 862--871. Long Beach, California, USA, PMLR, (09--15 Jun 2019)
C. Canonne. (2020)cite arxiv:2002.11457Comment: This is a review article; its intent is not to provide new results, but instead to gather known (and useful) ones, along with their proofs, in a single convenient location.