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Ezra's Round Table on 9/15/2023: Dr.… duration 1 hour 5 minutes Ezra's Round Table on 9/15/2023: Dr.… Ezra's Round Table on 9/15/2023: Dr. Christos Cassandras	Ezra's Round Table on 9/15/2023: Dr. Christos Cassandras Optimal Safe-Critical Autonomy for Multi-Agent Systems: Making Autonomous Vehicles a Reality Implementing solutions to complex dynamic optimization problems is limited by the fact that these… control problem constraints vehicles safety solution function vehicle cars functions linear optimization constraint distance dynamics approach guy point optimality cbf From E. Cornelius 3 plays
Stochastic Networks Conference 2022 - Neil Walton… duration 57 minutes 40 seconds Stochastic Networks Conference 2022 - Neil Walton… Stochastic Networks Conference 2022 - Neil Walton Edit	Stochastic Networks Conference 2022 - Neil Walton Edit Zoom Recording ID: 97630276119 UUID: U0km4eAFT/qJV3mJGOGpqw== Meeting Time: 2022-06-22 12:35:35pm kind point things function algorithm probability arm sort thing problem target rewards arms distribution learning queue linear boundary lyapunov result From E. Cornelius 10 plays
Stochastic Networks Conference 2022 - Mengdi Wang… duration 54 minutes 24 seconds Stochastic Networks Conference 2022 - Mengdi Wang… Stochastic Networks Conference 2022 - Mengdi Wang Edit	Stochastic Networks Conference 2022 - Mengdi Wang Edit Zoom Recording ID: 97630276119 UUID: /ZuEXbU4RMCsfkAf8RJ+Zw== Meeting Time: 2022-06-24 12:36:58pm sequence recombination optimization mutation problem model evolution sequences process function selection question population lab linear protein learning theory algorithm bit From E. Cornelius 3 plays
Clip of Stochastic Networks Conference 2022 -… duration 1 hour 0 minutes Clip of Stochastic Networks Conference 2022 -… Clip of Stochastic Networks Conference 2022 - Christina Lee Yu Edit	Clip of Stochastic Networks Conference 2022 - Christina Lee Yu Edit Zoom Recording ID: 97630276119 UUID: /ZuEXbU4RMCsfkAf8RJ+Zw== Meeting Time: 2022-06-24 12:36:58pm treatment estimator degree model outcomes effect neighborhood individuals linear network outcome kind thing vector control graph individual function edges experiment From E. Cornelius 11 plays
Lecture 12/7: Review duration 1 hour 28 minutes Lecture 12/7: Review Lecture 12/7: Review	Lecture 12/7: Review Zoom Recording ID: 94347618999 UUID: VheGqdJfRNW1xraslG/csw== Meeting Time: 2021-12-07T14:31:46Z model models features sort machine class things learning lots questions lot problems feature problem linear decision methods ways gradient loss From Madeleine Udell 49 plays
Lecture 12/2/21: Neural networks duration 1 hour 38 minutes Lecture 12/2/21: Neural networks Lecture 12/2/21: Neural networks	Lecture 12/2/21: Neural networks Zoom Recording ID: 94347618999 UUID: 911ow0ynTaqsKu+54L3rUg== Meeting Time: 2021-12-02T14:31:48Z function gradient layer linear thing networks network lot respect differentiation output matrix model kind bit nets lots models times activation From Madeleine Udell 91 plays
Lecture 11/18/21: Automated machine learning duration 1 hour 20 minutes Lecture 11/18/21: Automated machine learning Lecture 11/18/21: Automated machine learning	Lecture 11/18/21: Automated machine learning Zoom Recording ID: 94347618999 UUID: swJzf2foSJGgxZQh1SLErA== Meeting Time: 2021-11-18T14:37:07Z model models machine dataset learning datasets hyperparameters lot hyperparameter feature vector error points classifier regression cross values linear features pca From Madeleine Udell 92 plays
Lecture 11/9/21: Unsupervised learning (PCA) duration 1 hour 42 minutes Lecture 11/9/21: Unsupervised learning (PCA) Lecture 11/9/21: Unsupervised learning (PCA)	Lecture 11/9/21: Unsupervised learning (PCA) Zoom Recording ID: 94347618999 UUID: i0nonjabSNqNawDsvIrVAQ== Meeting Time: 2021-11-09T14:28:43Z loss times entries problem matrix function rank column pca model vector entry thing linear feature values regression columns features sum From Madeleine Udell 160 plays
Lecture 11/4/21: Losses for classification and… duration 1 hour 30 minutes Lecture 11/4/21: Losses for classification and… Lecture 11/4/21: Losses for classification and multi-class classification	Lecture 11/4/21: Losses for classification and multi-class classification Zoom Recording ID: 94347618999 UUID: l1RpSW+qTF6f/eH+Nbq9vQ== Meeting Time: 2021-11-04T13:33:44Z loss function problem class classification thing prediction margin space probability vector output linear points bit models kind regression things numbers From Madeleine Udell 167 plays
Section: post-hoc interpretability (LIME, SHAP) duration 45 minutes 40 seconds Section: post-hoc interpretability (LIME, SHAP) Section: post-hoc interpretability (LIME, SHAP)	Section: post-hoc interpretability (LIME, SHAP) Zoom Recording ID: 95071859677 UUID: 8jQJz7E4RLS27UeD6NpZ6w== Meeting Time: 2021-11-03T15:17:11Z model decision machine prediction models kind feature box class performance linear sort points instance bunch algorithm things learning features guys From Madeleine Udell 16 plays
Lecture 11/2/21: Loss functions duration 1 hour 51 minutes Lecture 11/2/21: Loss functions Lecture 11/2/21: Loss functions	Lecture 11/2/21: Loss functions Zoom Recording ID: 94347618999 UUID: vWQG3ObBTcWaFwtVIF8PgQ== Meeting Time: 2021-11-02T13:05:02Z loss regression outliers points function error times distance squares prediction point problem linear alpha errors quantile model sum functions questions From Madeleine Udell 178 plays
CTBN October 2021 Forum duration 44 minutes 41 seconds CTBN October 2021 Forum CTBN October 2021 Forum	CTBN October 2021 Forum Enhancing Competitiveness via Embedded Digitization -How Digital Apps and AI Speed Up B2B Lending and Transactions “You’re Approved!” is music to one business… engineering engineering alumni engineering alumni association ceaa ctbn cornell technology business network digital digital apps b2b lending transactions economy lot kind things linear credit cornell question fraud banks customer point bank process bit businesses banking companies opportunity customers From Bonna Davidson 13 plays
Section 11/23/21: optimization duration 57 minutes 14 seconds Section 11/23/21: optimization Section 11/23/21: optimization	Section 11/23/21: optimization Zoom Recording ID: 91739230861 UUID: v8lG4ne3RLytBr+lTovY4g== Meeting Time: 2021-10-27T15:17:37Z function expectation convex gradient star solution minus times term convergence functions definition method point k. step summation key problem linear From Madeleine Udell 19 plays
Lecture 10/19/21: Trees duration 1 hour 30 minutes Lecture 10/19/21: Trees Lecture 10/19/21: Trees	Lecture 10/19/21: Trees Zoom Recording ID: 94347618999 UUID: aVtz9UcFQEWYfZSJRdBJJw== Meeting Time: 2021-10-19T13:35:26Z points region tree node decision point leaf model label split class trees linear values threshold coordinate thing percent thresholds nodes From Madeleine Udell 139 plays
Lecture 10/14: Bootstrap and bias variance… duration 1 hour 26 minutes Lecture 10/14: Bootstrap and bias variance… Lecture 10/14: Bootstrap and bias variance tradeoff	Lecture 10/14: Bootstrap and bias variance tradeoff Zoom Recording ID: 94347618999 UUID: qgdVNfgoTIi+Z1Xj3EkLqQ== Meeting Time: 2021-10-14T13:29:44Z model dataset function distribution variance points prediction bootstrap point sample models datasets expectation sigma thing linear hm times bias epsilon From Madeleine Udell 171 plays
ORIE Colloquium on 10/5/2021: Jeff Linderoth duration 1 hour 7 minutes ORIE Colloquium on 10/5/2021: Jeff Linderoth ORIE Colloquium on 10/5/2021: Jeff Linderoth	ORIE Colloquium on 10/5/2021: Jeff Linderoth Subspace Clustering with Missing Data via Integer Programming In the Subspace Clustering with Missing Data (SCMD) problem, we are given a collection of n data points, arranged into columns of a… subspace points problem matrix point subspaces programming linear method clustering things bit methods integer sort machine sense rank dimension completion From E. Cornelius 6 plays