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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 13 plays
01:08:14 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 on April 20th, 2021 6 plays
06:09 Lesson 30.5 Selection Sort Lesson 30.5 Selection Sort	Lesson 30.5 Selection Sort In the previous video we saw that insertion sort is not an ideal sorting algorithm. In this video we try our hand at another algorithm: selection sort. This is another simple algorithm that may be… region loop algorithm hand selection swap elements swaps loops problem checks module element 7s beginning algorithms sort insertion min alright From Hannah Lee on December 10th, 2020 13 plays Content Categories Instructional Recordings Creation Date December 11th, 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
02:22:33 Young Researchers October 2019 (Not recorded… Young Researchers October 2019 (Not recorded correctly)	Young Researchers October 2019 (Not recorded correctly) linear program expected reward partial smoothness highest probability generalized equation geometric topology contemporary art specific bundle differential calculus salesman problem global convergence blue set general case elementary algebra classical deterministic poll numbers smooth functions higher degree cubic polynomial longer hold optimization algorithms and methods underlying structure function dimensional problem mathematical and quantitative methods (economics) smooth gradient squares polynomials minimal case stationary condition black box gradient descent expected number upper bound local min variational inequalities numerical analysis ejc85 lower dimensional deterministic algorithm linear convergence rate first order methods active manifold semi definite objective function chromatic number convex analysis local man statistical theory negative gradient direction original objective starting point convex problem north space wider search space high level idea complex form statistical methods statistical terminology linear approximation gradient approximation professor card single point performance profile bundle size traditional sort equations topology convex function conditional expectation function values optimal decisions classical case probability theory complicated manifold convergence rate reinforcement learning good quality elementary special functions primal dual optimality measure quality 1st order method types of functions local minima local minimum feasible region multivariable calculus differential geometry holds true operations research systems engineering smooth function statistical model natural question online algorithm constant rank manifolds dynamic programming competitive ratio type method high dimension quadratic approximation function evaluation intersection point regression analysis open question decomposable properties 2nd order special case 1st order caption complete design of experiments 1st time edge cost perfect graph algorithms north face 3rd condition hand side algebra mathematical analysis fast convergence mathematical optimization small probabilities adjacent vertices true gradient single edge sufficient decrease good conditioning strong perfect linear operators in calculus n.p. hard root-finding algorithms nonce move From E. Cornelius on October 5th, 2019 11 plays