Search for tag: "optimization"

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57:22 10.1.21 Zachary Teed, Princeton University 10.1.21 Zachary Teed, Princeton University	10.1.21 Zachary Teed, Princeton University Zoom Recording ID: 471873857 UUID: VErF+qyjSjiBrAonNwZ2Zw== Meeting Time: 2021-10-01T15:56:30Z optimization flow 3d network lot problem slam camera point motion images things pixels problems image function depth pixel resolution stereo From Jordan Staiti on October 1st, 2021 23 plays
50:00 ORIE Colloquium on 9/21/2021 - Andrea Lodi:… ORIE Colloquium on 9/21/2021 - Andrea Lodi: Disjunctive Cuts in Mixed-Integer Conic Optimization	ORIE Colloquium on 9/21/2021 - Andrea Lodi: Disjunctive Cuts in Mixed-Integer Conic Optimization Zoom Recording ID: 828729415 UUID: h/sWPUB1Rz2Xvkw6ra8FWA== Meeting Time: 2021-09-21T20:13:59Z integer normalization linear problem point inequalities gap convex optimization inequality constraints cats cone disjunction paper side cat end context idea From E. Cornelius on September 21st, 2021 4 plays
01:02:45 Informal Theory Seminar Informal Theory Seminar	Informal Theory Seminar Zoom Recording ID: 96116630382 UUID: jeOPrHzCTBC1ZhLTMNoxqA== Meeting Time: 2021-06-24T19:00:07Z ground cubits computer error gates hamiltonian quantum regime factor mitigation thing energy circuit computers method problem layers methods optimization paper From Eunah Kim on June 24th, 2021 0 plays
01:11:49 CAM Colloquium - Mauricio Velasco (5/7/21) CAM Colloquium - Mauricio Velasco (5/7/21)	CAM Colloquium - Mauricio Velasco (5/7/21) Zoom Recording ID: 95217932087 UUID: ihiEbS7jTPGpQl7Z8wMPeA== Meeting Time: 2021-05-07T19:19:51Z problem optimization varieties variety squares question degree things sigma sum space polynomials point polynomial fact lambda graph talk theorem convex From Erika Fowler-Decatur on May 7th, 2021 4 plays
01:06:06 ORIE Colloquium: Alexandre d'Aspremont, May… ORIE Colloquium: Alexandre d'Aspremont, May 4, 2021	ORIE Colloquium: Alexandre d'Aspremont, May 4, 2021 "Sparsity, Feature Selection and the Shapley Folkman Theorem” The Shapley Folkman theorem acts a central limit theorem for convexity: It shows that Minkowski sums of arbitrary bounded… convex problem selection feature sum constraints gap bayes duality performance optimization classification bit hull sort bounds sets variables model point From Henry Lam on May 4th, 2021 2 plays
01:06:39 4.30.21 Alex Smola and Jonas Mueller, Amazon Web… 4.30.21 Alex Smola and Jonas Mueller, Amazon Web Services	4.30.21 Alex Smola and Jonas Mueller, Amazon Web Services Zoom Recording ID: 94765771101 UUID: tNLianDzQpWLXWiO6rimjw== Meeting Time: 2021-04-30T15:09:51Z model models lot training distribution thing things text linear bit question kind validation optimization problem point layer automl end sample From Jordan Staiti on April 30th, 2021 19 plays
01:01:47 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 learning,… convex epsilon monotone problem optimization problems gradient concave setup solution point function min max operator method bit sense things gap From Henry Lam on April 27th, 2021 16 plays
01:14:49 4.16.21 Madeleine Udell, Cornell University 4.16.21 Madeleine Udell, Cornell University	4.16.21 Madeleine Udell, Cornell University Zoom Recording ID: 94765771101 UUID: PdHUv8VrQZK1vScIPYbP6g== Meeting Time: 2021-04-16T15:06:54Z dataset model machine learning features datasets hyperparameters rank models pipeline points matrix sort idea factorization optimization auto values problem description From Jordan Staiti on April 16th, 2021 26 plays
01:12:14 ORIE Colloquium: Daniel Kuhn (College of… ORIE Colloquium: Daniel Kuhn (College of Management of Technology at EPFL), March 23, 2021	ORIE Colloquium: Daniel Kuhn (College of Management of Technology at EPFL), March 23, 2021 A General Framework for Optimal Data-Driven Optimization” We propose a statistically optimal approach to construct data-driven decisions for stochastic optimization problems. Fundamentally,… problem sample optimization distribution function statistic risk rate samples theta model decay probability sense solution models risks training disappointment predictor From Henry Lam on March 23rd, 2021 2 plays
01:00:50 Pieter van den Berg CAM Colloquium Talk Pieter van den Berg CAM Colloquium Talk	Pieter van den Berg CAM Colloquium Talk Zoom Recording ID: 95217932087 UUID: +fG88UByTvKeFYICwNSfQw== Meeting Time: 2021-03-19T19:18:47Z buses bus energy bit schedule charge station point network charging lot battery charger thing charges solution question sort optimization kind percent uncertainty From Erika Fowler-Decatur on March 22nd, 2021 3 plays
01:04:47 ORIE Colloquium: Lijun Ding/Angela Zhou (Cornell… ORIE Colloquium: Lijun Ding/Angela Zhou (Cornell Univeristy), March 2, 2021	ORIE Colloquium: Lijun Ding/Angela Zhou (Cornell Univeristy), March 2, 2021 Lijun Ding Title: Low rank matrix optimization Abstract: This talk consists of two parts: (1) semidefinite programming with low rank solution; (2) statistical low-rank matrix recovery.… kind matrix problem treatment method decision space rank solution times star algorithm optimization lot outcomes analysis linear population convergence constraints From Henry Lam on March 2nd, 2021 9 plays
01:03:49 ORIE Colloquium - Yilun Chen/Benjamin Grimmer… ORIE Colloquium - Yilun Chen/Benjamin Grimmer (Cornell University), February 16, 2021	ORIE Colloquium - Yilun Chen/Benjamin Grimmer (Cornell University), February 16, 2021 Yilun ChenTitle: Beating the curse of dimensionality in data-driven online decision-making Abstract: Data-driven online decision-making tasks arise frequently in various practical settings in… problem interaction problems algorithm convex kind point decision concave minimax stopping question objective convergence envelope optimization player term structure things From Henry Lam on February 16th, 2021 9 plays
07:47 Lesson 17.6 Divide and Conquer Visualization Lesson 17.6 Divide and Conquer Visualization	Lesson 17.6 Divide and Conquer Visualization Just because you know how to write a divide-and-conquer algorithm does not mean you understand it. In this video we try to improve our understanding by visualizing divide-and-conquer. When we do this… call accumulator left step answer string loop recursion space steps character answers function variable return element optimization pieces parts stack From Hannah Lee on October 19th, 2020 69 plays Content Categories Instructional Recordings Creation Date October 19th, 2020 Creator 1 First Name Walker Creator 1 Last Name White Creator 1 Role Faculty or Staff Member Creator 1 NetID wmw2 Language English Searchable Yes Searchable On Cornell Web Search
19:35 CS 6120: Lesson 7: Interprocedural Analysis CS 6120: Lesson 7: Interprocedural Analysis	CS 6120: Lesson 7: Interprocedural Analysis loop induction optimization iteration loops memory variables multiplication optimizations array variable thing pointer times kind form step iterations things analysis From Adrian Sampson on October 18th, 2020 464 plays
24:11 CS 6120: Lesson 3: Local Optimization & Dead… CS 6120: Lesson 3: Local Optimization & Dead Code Elimination	CS 6120: Lesson 3: Local Optimization & Dead Code Elimination Music: https://www.bensound.com instruction instructions optimization block elimination variable variables things function brill thing control optimizations pseudocode flow opportunity programs deletion assignment loop From Adrian Sampson on September 12th, 2020 1,017 plays
55:04 Session 4 Panel Discussion - Food Spoilage-… Session 4 Panel Discussion - Food Spoilage- Causes and Prevention	Session 4 Panel Discussion - Food Spoilage- Causes and Prevention Moderator: Carmen I. MoraruAaron Adalja: Food Waste MarketsRenata Ivanek: Modeling of Food WasteMartin Wiedmann: A Modeling Approach to Predicting Food Shelf Life to Reduce Food Waste supply chain retail level optimal solution bbc children's television programmes north america food waste food products choice experiments stand food food technology agricultural economics optimal path dairy products commercial item transport and distribution reduce food spoilage longer shelf life good quality storage temperature support tools reducing food waste food quality additional shelf life decision support fresh produce scientific modeling pricing shelf life carbon emissions extend shelf wasting food cooking reduce food waste milk food retailing dynamic pricing fluid milk packaging materials consumer level reduction technologies milk spoilage tax code food waste markets digital trend consumer behavior primary retail market raw milk small facilities processing facility food spoilage food milk reduce food consumer theory lag phase reducing spoilage prepared food small processors increase shelf life processing level packaging improving shelf life financial markets decision making monte carlo food and the environment milk markets english-language television programs waste plant reproduction production chain secondary market non-alcoholic drinks predict shelf life half gallon food industry food science precise spoilage additional cost shelf life study food preservation reduce retail premium system long term food system caption complete reduce spoilage retailing scientific method food safety waste management farm level mathematical optimization milk food waste From Matt Gorney on August 25th, 2020 10 plays