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	Near-Optimal Methods for Minimizing Star-Convex Functions and Beyond (COLT) View
	Stochastic Approximation of Smooth and Strongly Convex Functions (COLT) View
	Visually Explained: Newton's Method in Optimization (Visually Explained) View
	Highly smooth minimization of non-smooth problems (COLT) View
	Gradient Descent only Converges to Minimizers (COLT) View
	Gradient Descent: Quadratic Functions (Ketan Rajawat) View
	BayLearn 2020: Distributed Sketching Methods for Privacy Preserving Regression (Bay Learn) View
	Averaged Stochastic Gradient Descent on Riemannian Manifolds (COLT) View
	Talk: A meta-learning approach to (re)discover plasticity rules that carve a desired function to a … (Neuromatch Conference) View
	L1 Regression using Lewis Weights Preconditioning and Stochastic Gradient Descent (COLT) View