Search for tag: "gradient"

30 Media

Group1 duration 11 minutes 46 seconds Group1 Group1	Group1 point melting network graph flux input prediction phase oxide stoichiometry machine elements thing temperature melter fluxes script gradient couple series From James Overhiser 7 plays
2022 REU Presentation: Bianca Brown duration 13 minutes 7 seconds 2022 REU Presentation: Bianca Brown 2022 REU Presentation: Bianca Brown	2022 REU Presentation: Bianca Brown material structures transport chloride ratio scan needle temperature vapor furnaces box materials sample crystalline niobium gradient growth moisture reason lab From James Overhiser 5 plays
Clip of Stochastic Networks Conference 2022 - R.… duration 46 minutes 20 seconds Clip of Stochastic Networks Conference 2022 - R.… Clip of Stochastic Networks Conference 2022 - R. Srikant Edit	Clip of Stochastic Networks Conference 2022 - R. Srikant Edit Zoom Recording ID: 97630276119 UUID: /ZuEXbU4RMCsfkAf8RJ+Zw== Meeting Time: 2022-06-24 12:36:58pm problem cost algorithm gradient risk formulation control question lambda infinity alpha context traffic matrix reinforcement paper sequence truncation expectation robustness From E. Cornelius 2 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 48 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
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 10/21/21: Ensembles + Regularization duration 1 hour 23 minutes Lecture 10/21/21: Ensembles + Regularization Lecture 10/21/21: Ensembles + Regularization	Lecture 10/21/21: Ensembles + Regularization Zoom Recording ID: 94347618999 UUID: Hg/UOyaZTFGi+ub+trRDtw== Meeting Time: 2021-10-21T13:31:18Z tree trees prediction model variance models loss thing gradient bootstrap samples predictions dataset regularization error learners idea function training values From Madeleine Udell 90 plays
Section 9/21/21: Linear algebra and gradient… duration 58 minutes 57 seconds Section 9/21/21: Linear algebra and gradient… Section 9/21/21: Linear algebra and gradient descent	Section 9/21/21: Linear algebra and gradient descent Zoom Recording ID: 95071859677 UUID: nT8Aut2JRImFyH9dmksS/w== Meeting Time: 2021-09-21T18:31:09Z transpose times gradient function hm matrix column term kth x. implication star mm respect w. vector convex inverse side summation From Madeleine Udell 107 plays
9.21.21 Chamsi Hssaine, Cornell University duration 59 minutes 27 seconds 9.21.21 Chamsi Hssaine, Cornell University 9.21.21 Chamsi Hssaine, Cornell University	9.21.21 Chamsi Hssaine, Cornell University Zoom Recording ID: 97325240794 UUID: ZwWuEJtZQvmDES3kHFMl6g== Meeting Time: 2021-09-20T19:32:52Z revenue question firms firm gradient curve nash equilibrium bit model property customers characterization infinity convergence equilibria descent customer competition questions From Jordan Staiti 52 plays
Lecture 9/16: Feature engineering duration 1 hour 25 minutes Lecture 9/16: Feature engineering Lecture 9/16: Feature engineering	Lecture 9/16: Feature engineering Zoom Recording ID: 94347618999 UUID: PFUsN12HSx6I3dkD0PuRBg== Meeting Time: 2021-09-16T13:28:20Z model linear function thing gradient training squares problem class points models problems descent feature error fit things fact test matrix From Madeleine Udell 173 plays
Lecture 9/14: SGD and QR duration 1 hour 42 minutes Lecture 9/14: SGD and QR Lecture 9/14: SGD and QR	Lecture 9/14: SGD and QR Zoom Recording ID: 94347618999 UUID: YzoQsWEUReG7Sm8YrzFpoQ== Meeting Time: 2021-09-14T13:31:31Z gradient matrix question chunk problem times descent thing dataset class size function inverse iteration validation examples questions point method squares From Madeleine Udell 180 plays
Lecture 9/9: Gradient descent duration 1 hour 40 minutes Lecture 9/9: Gradient descent Lecture 9/9: Gradient descent	Lecture 9/9: Gradient descent Zoom Recording ID: 94347618999 UUID: 5pmUF9dtSCyd7D9w79Er8w== Meeting Time: 2021-09-09T13:28:47Z gradient direction step alpha times function size matrix point objective w. entry descent thing linear iteration vector transpose iterations respect From Madeleine Udell 236 plays
PARADIM Summer School 2021:Group Presentation on… duration 14 minutes 52 seconds PARADIM Summer School 2021:Group Presentation on… PARADIM Summer School 2021:Group Presentation on Chemical Vapor Transport	PARADIM Summer School 2021:Group Presentation on Chemical Vapor Transport PARADIM Summer School 2021 Materials Growth and Design - Frustrated and Quantum Magnetism: Group Presentation on Chemical Vapor Transport water chloride abc crystal temperature celsius degrees wire sodium lithium reason gradient furnace kelvin structure literature idea things air bottom From Brenda Fisher 2 plays
ORIE Colloquium: Jelena Diakonikolas… duration 1 hour 1 minute ORIE Colloquium: Jelena Diakonikolas… ORIE Colloquium: Jelena Diakonikolas (UW-Madison), April 27, 2021	ORIE Colloquium: Jelena Diakonikolas (UW-Madison), April 27, 2021 “Structure in Min-Max Optimization (and How to Use It!)” Min-max optimization problems have received significant recent renewed interest, due to their applications in machine… convex epsilon monotone problem optimization problems gradient concave setup solution point function min max operator method bit sense things gap From Henry Lam 39 plays
ORIE Colloquium: Volkan Cevher (Swiss Federal… duration 1 hour 8 minutes ORIE Colloquium: Volkan Cevher (Swiss Federal… ORIE Colloquium: Volkan Cevher (Swiss Federal Institute of Technology Lausanne), April 20, 2021	ORIE Colloquium: Volkan Cevher (Swiss Federal Institute of Technology Lausanne), April 20, 2021 “Limits of Robbins-Monro-type algorithms: From minimization to minimax optimization” Compared to ordinary function minimization problems, min-max optimization algorithms encounter… gradient problem max min things point sets function schemes sense step problems bit descent dynamics bias term size points algorithms From Henry Lam 19 plays
ORIE Colloquium: Kuang Xu (Standford), April 13,… duration 59 minutes 40 seconds ORIE Colloquium: Kuang Xu (Standford), April 13,… ORIE Colloquium: Kuang Xu (Standford), April 13, 2021	ORIE Colloquium: Kuang Xu (Standford), April 13, 2021 “Using mean-field modeling to power experimentation” I will discuss a new approach to experimental design in large-scale stochastic systems with considerable cross-unit… kind model question interference demand function utility thing bit experimentation delta pi equilibrium response experiments workers mu gradient field point From Henry Lam 12 plays