Categories news ZIB's Anniversary: Celebrating 40 Years of Innovation in Mathematics and Computer Science 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 On the Byzantine-Resilience of Distillation-Based Federated Learning The Good, the Bad and the Ugly: Watermarks, Transferable Attacks and Adversarial Defenses A short intro to Special Relativity A Secant Method Line Search for Frank-Wolfe algorithms Extending the Continuum of Six-Colorings Accelerated and Sparse Algorithms for Approximate Personalized PageRank and Beyond Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging How I Learned to Stop Worrying and Love Retraining Alternating Linear Minimization Improved local models and new Bell inequalities via Frank-Wolfe algorithms Sh**t you can do with the euclidean norm 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 Quantum Computing for the Uninitiated: The Basics 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 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