Tags GPU Accelerating Domain Propagation via GPUs MICP Boscia.jl - a new Mixed-Integer Convex Programming (MICP) solver abstract Pairwise Conditional Gradients without Swap Steps Fast algorithms for fair packing and its dual Simple steps are all you need Learning to Schedule Heuristics in Branch and Bound FrankWolfe.jl: A high-performance and flexible toolbox for Conditional Gradients CINDy: Conditional gradient-based Identification of Non-linear Dynamics DNN Training with Frank–Wolfe Projection-Free Adaptive Gradients for Large-Scale Optimization Accelerating Domain Propagation via GPUs Projection-Free Optimization on Uniformly Convex Sets Second-order Conditional Gradient Sliding On the unreasonable effectiveness of the greedy algorithm Boosting Frank-Wolfe by Chasing Gradients Non-Convex Boosting via Integer Programming Approximate Carathéodory via Frank-Wolfe Conditional Gradients and Acceleration Blended Matching Pursuit Sharpness and Restarting Frank-Wolfe Mixing Frank-Wolfe and Gradient Descent Emulating the Expert Training Neural Networks with LPs Tractability limits of small treewidth ai The Zeroth World On the relevance of AI and ML research in academia bandits Linear Bandits on Uniformly Convex Sets cheat sheet Quantum Computing for the Uninitiated: The Basics Cheat Sheet: Acceleration from First Principles Cheat Sheet: Subgradient Descent, Mirror Descent, and Online Learning Cheat Sheet: Smooth Convex Optimization Cheat Sheet: Hölder Error Bounds for Conditional Gradients Cheat Sheet: Linear convergence for Conditional Gradients Cheat Sheet: Frank-Wolfe and Conditional Gradients coding Collaborating online, in real-time, with math-support and computations competition New(!!) 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NeurIPS 2021 competition: Machine Learning for Discrete Optimization (ML4CO) Join CO@Work and EWG-POR – online and for free! An update on SCIP Non-Convex Boosting via Integer Programming ml Pairwise Conditional Gradients without Swap Steps Fast algorithms for fair packing and its dual Simple steps are all you need New(!!) NeurIPS 2021 competition: Machine Learning for Discrete Optimization (ML4CO) Learning to Schedule Heuristics in Branch and Bound FrankWolfe.jl: A high-performance and flexible toolbox for Conditional Gradients CINDy: Conditional gradient-based Identification of Non-linear Dynamics Projection-Free Adaptive Gradients for Large-Scale Optimization Projection-Free Optimization on Uniformly Convex Sets Second-order Conditional Gradient Sliding Psychedelic Style Transfer Boosting Frank-Wolfe by Chasing Gradients Non-Convex Boosting via Integer Programming Approximate Carathéodory via Frank-Wolfe Universal Portfolios: how to (not) get rich Conditional Gradients and Acceleration Cheat Sheet: Acceleration from First Principles Blended Matching Pursuit Sharpness and Restarting Frank-Wolfe Cheat Sheet: Subgradient Descent, Mirror Descent, and Online Learning Mixing Frank-Wolfe and Gradient Descent The Zeroth World Cheat Sheet: Smooth Convex Optimization Cheat Sheet: Hölder Error Bounds for Conditional Gradients Cheat Sheet: Linear convergence for Conditional Gradients Training Neural Networks with LPs Cheat Sheet: Frank-Wolfe and Conditional Gradients On the relevance of AI and ML research in academia neural style transfer Psychedelic Style Transfer neurips New(!!) NeurIPS 2021 competition: Machine Learning for Discrete Optimization (ML4CO) optimization Monograph on Conditional Gradients and Frank-Wolfe methods Boscia.jl - a new Mixed-Integer Convex Programming (MICP) solver Acceleration of Frank-Wolfe algorithms with open loop step-sizes Pairwise Conditional Gradients without Swap Steps Conditional Gradients for the Approximately Vanishing Ideal Fast algorithms for fair packing and its dual Simple steps are all you need Learning to Schedule Heuristics in Branch and Bound FrankWolfe.jl: A high-performance and flexible toolbox for Conditional Gradients CINDy: Conditional gradient-based Identification of Non-linear Dynamics DNN Training with Frank–Wolfe Projection-Free Adaptive Gradients for Large-Scale Optimization Accelerating Domain Propagation via GPUs Projection-Free Optimization on Uniformly Convex Sets Second-order Conditional Gradient Sliding On the unreasonable effectiveness of the greedy algorithm An update on SCIP Boosting Frank-Wolfe by Chasing Gradients Non-Convex Boosting via Integer Programming Approximate Carathéodory via Frank-Wolfe SCIP x Raspberry Pi: SCIP on Edge Universal Portfolios: how to (not) get rich Conditional Gradients and Acceleration Cheat Sheet: Acceleration from First Principles Blended Matching Pursuit Sharpness and Restarting Frank-Wolfe Cheat Sheet: Subgradient Descent, Mirror Descent, and Online Learning Mixing Frank-Wolfe and Gradient Descent Cheat Sheet: Smooth Convex Optimization Emulating the Expert Cheat Sheet: Hölder Error Bounds for Conditional Gradients Cheat Sheet: Linear convergence for Conditional Gradients Training Neural Networks with LPs Cheat Sheet: Frank-Wolfe and Conditional Gradients Tractability limits of small treewidth pseudo-regret Linear Bandits on Uniformly Convex Sets python Collaborating online, in real-time, with math-support and computations quantum computing Quantum Computing for the Uninitiated: The Basics scip An update on SCIP SCIP x Raspberry Pi: SCIP on Edge sharpness On the unreasonable effectiveness of the greedy algorithm submodular On the unreasonable effectiveness of the greedy algorithm summer school Join CO@Work and EWG-POR – online and for free! tools Toolchain Tuesday No. 6 Toolchain Tuesday No. 5 Toolchain Tuesday No. 4 Toolchain Tuesday No. 3 Toolchain Tuesday No. 2 Toolchain Tuesday No. 1 uniform convexity Linear Bandits on Uniformly Convex Sets Projection-Free Optimization on Uniformly Convex Sets