Categories news New(!!) NeurIPS 2021 competition: Machine Learning for Discrete Optimization (ML4CO) Join CO@Work and EWG-POR – online and for free! An update on SCIP random SCIP x Raspberry Pi: SCIP on Edge Toolchain Tuesday No. 6 The Zeroth World Toolchain Tuesday No. 5 Toolchain Tuesday No. 4 Toolchain Tuesday No. 3 Toolchain Tuesday No. 2 Toolchain Tuesday No. 1 On the relevance of AI and ML research in academia Collaborating online, in real-time, with math-support and computations research Learning to Schedule Heuristics in Branch and Bound FrankWolfe.jl: A high-performance and flexible toolbox for Conditional Gradients Linear Bandits on Uniformly Convex Sets 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 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 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