Search for tag: "estimation"
11.12.21 Florentina Bunea, Cornell UniversityZoom Recording ID: 471873857 UUID: O0ecNCvQQrqWOViv2Fk0Bg== Meeting Time: 2021-11-12T17:00:43Z
From Jordan Staiti
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Lecture 11/11: Imputing missing values with the Gaussian copulaZoom Recording ID: 94347618999 UUID: me8ufsMXTCm5sdTAuyJ8PQ== Meeting Time: 2021-11-11T14:31:38Z
From Madeleine Udell
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Intro ML II - (Stochastic) Gradient DescentZoom Recording ID: 8760640863 UUID: u8EViBtWSpqx0LZw4ZbeLQ== Meeting Time: 2020-04-23T15:22:31Z
From Bharath Hariharan
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06 - Commentary - Gary EvansThe Sixth Biennial Urie Bronfenbrenner Conference An Equal Start: Policy and Practice to Promote Equality of Opportunity for Children October 25-26, 2018 Sections: Making the Safety Net Work for…
From Carrie Chalmers
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ORIE 9000 Colloquium - Xiaodong Li: Low-rank recovery: from convex to nonconvex methodsLow-rank structures are common in modern data analysis, and they play essential roles in various applications. It is challenging to recover low-rank structures reliably and efficiently from corrupted…
From E. Cornelius
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ORIE 9000 Colloquium - Rafael Frongillo: A Unified Theory of Elicitation via Convex AnalysisElicitation is the study of mechanisms which incentivize the truthful reporting of private information from self-minded agents. In this talk I will present a general theory of elicitation grounded in…
From E. Cornelius
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ORIE Colloquium on 2/18/2015 - Mariana Olvera-Cravioto: Queues in the Cloud: Generalizing the single server queue to massively parallel networksMotivated by today’s cloud computing capabilities in large server farms, we present a queueing model where jobs are split into a number of pieces which are then randomly routed to…
From E. Cornelius
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ORIE Colloquium on 1/29/2015 - Jason Lee: Selective Inference via the Condition on Selection Framework: Applications to Inference After Variable SelectionSelective Inference is the problem of testing hypotheses that are chosen or suggested by the data. Inference after variable selection in high-dimensional linear regression is a common example of…
From E. Cornelius
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CAM Colloquium - Ioannis Papastathopoulos: High-dimensional inference for multivariate extremesNatural hazards such as floods, heatwaves and windstorms can cause havoc for the people affected and typically result in huge financial losses. Drug-induced liver injury is a major public health and…
From E. Cornelius
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ORIE Colloquium on 3/25/2014 - Rob Freund: A First-Order View of Some Boosting Methods: Computational Guarantees and Connections to RegularizationTuesday, March 25, 2014 at 4:15pm Frank H. T. Rhodes Hall, 253 ORIE Colloquium: Rob Freund (MIT) - A First-Order View of Some Boosting Methods: Computational Guarantees and Connections to…
From E. Cornelius
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ORIE Colloquium on 2/6/2014 - Po-Ling Loh (Cal-Berkeley): Nonconvex Methods for High-Dimensional Regression with Noisy and Missing DataThursday, February 6, 2014 at 4:15pm Frank H. T. Rhodes Hall, 253 ORIE Colloquium: Po-Ling Loh (Cal-Berkeley) - Nonconvex Methods for High-Dimensional Regression with Noisy and Missing Data Noisy…
From E. Cornelius
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ORIE Colloquium, 2014-05-02 - Philippe Rigollet: The Statistical Price to Pay for Computational Efficiency in Sparse PCAFriday, May 2 2:20 p.m. – Presentation – 253 Rhodes Hall Philippe Rigollet The statistical price to pay for computational efficiency in sparse PCA Computational limitations of…
From E. Cornelius
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