21,818 research outputs found
Season 4, Episode 6: COVID-19, Vaccines & IP Law w/ David Gindler and Jasper Tran
No full textRuntime 52:01The guests for this episode are David Gindler, Partner, and Jasper Tran, Associate and Minnesota Law School class of ‘15, at Milbank LLP in Los Angeles, California. Messrs. Gindler and Tran join the pod for the Volume 106 special episode to discuss the convergence of COVID-19, vaccinations, IP Law, and their practices at Milbank.Silberberg, Lee; Gindler, David; Tran, Jasper. (2022). Season 4, Episode 6: COVID-19, Vaccines & IP Law w/ David Gindler and Jasper Tran. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/258993
World War II, Crawford, Jasper Louis and friends
No full textAt the Division's R&R apartment in Naples. Left to right Lieutenant Lee Max Webb, Lieutenant Jasper Louis Crawford, Lieutenant George Bolz (See"World War II as Viewed from My Foxhole" by Jasper Louis Crawford, p. 34
Jasper Lee, James F. Shill, James E. Wall
Get PDFDr. Jasper S. Lee (left), Dr. James F. Shill, and Dr. James E. Wall are shown evaluating vocational and technical curricula being used in the state\u27s high schools and junior colleges.https://scholarsjunction.msstate.edu/ua-photo-collection/5124/thumbnail.jp
Oral History Program Interview: Talmage Lee Collins
No full textCALIFORNIA ODYSSEY The 1930s Migration to the Southern San Joaquin Valley Oral History Program Interview Between INTERVIEWEE: Talmage Lee Collins PLACE OF BIRTH: Jasper, Arkansa
Optimal Sub-Gaussian Mean Estimation in Very High Dimensions
Get PDFWe address the problem of mean estimation in very high dimensions, in the high probability regime parameterized by failure probability δ. For a distribution with covariance Σ, let its "effective dimension" be d_eff = {Tr(Σ)}/{λ_{max}(Σ)}. For the regime where d_eff = ω(log^2 (1/δ)), we show the first algorithm whose sample complexity is optimal to within 1+o(1) factor. The algorithm has a surprisingly simple structure: 1) re-center the samples using a known sub-Gaussian estimator, 2) carefully choose an easy-to-compute positive integer t and then remove the t samples farthest from the origin and 3) return the sample mean of the remaining samples. The core of the analysis relies on a novel vector Bernstein-type tail bound, showing that under general conditions, the sample mean of a bounded high-dimensional distribution is highly concentrated around a spherical shell
World War II, Bagnoli Bay
No full textLieutenant Jasper Louis Crawford and Lieutenant Lee Max Webb looking at Bagnoli Bay from Vomero section of Naples, Italy (See "World War II as Viewed from My Foxhole" by Jasper Louis Crawford, p. 33
World War II, Bagnoli Bay
No full textLieutenant Jasper Louis Crawford and Lieutenant Lee Max Webb looking into Bagnoli Bay from Vomero (See "World War II as Viewed from My Foxhole" by Jasper Louis Crawford, p. 33
Marion and Jasper Whiting Foundation Fellowship
No full textMarion and Jasper Whiting Foundation Fellowshi
Who Was Edmund Lee?
No full textLocal author Peggy Donoho discusses her pioneer ancestor, Edmund Lee, and her work to preserve their family cemetery
The Future of Canadian Climate Policy — with Marc Lee
No full textMarc Lee is a Senior Economist at the Canadian Centre for Policy Alternatives\u27 BC Office. In addition to tracking federal and provincial budgets and economic trends, Marc has published on a range of topics from poverty and inequality to globalization and international trade to public services and regulation. Marc is the Co-Director of the Climate Justice Project, a research partnership with UBC\u27s School of Community and Regional Planning that examines the links between climate change policies and social justice.Resources:Climate Justice Project: www.policyalternatives.ca/projects/cli…tice-projectMarc Lee\u27s Posts on Policy Note: www.policynote.ca/author/marclee/Canadian Centre for Policy Alternatives: www.policyalternatives.ca/Marc\u27s Twitter: twitter.com/MarcLeeCCPA International Panel on Climate Change, 2021 report: www.ipcc.ch/report/ar6/wg1
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