Tags Adversarial Defenses The Good, the Bad and the Ugly: Watermarks, Transferable Attacks and Adversarial Defenses Cryptography The Good, the Bad and the Ugly: Watermarks, Transferable Attacks and Adversarial Defenses GPU Accelerating Domain Propagation via GPUs Learning Theory The Good, the Bad and the Ugly: Watermarks, Transferable Attacks and Adversarial Defenses Little's Law Little’s Law and Conference Reviewing: the Queueing Perspective MICP Boscia.jl - a new Mixed-Integer Convex Programming (MICP) solver Transferable Attacks The Good, the Bad and the Ugly: Watermarks, Transferable Attacks and Adversarial Defenses Watermarks The Good, the Bad and the Ugly: Watermarks, Transferable Attacks and Adversarial Defenses ZIB ZIB's Anniversary: Celebrating 40 Years of Innovation in Mathematics and Computer Science 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 adaptive methods A New Default Open-Loop Step-Size for Frank-Wolfe? agents The Agentic Researcher ai The Agentic Researcher Between Theory and Reality: How Schools Grapple with Heterogeneity and Where AI Fits The Zeroth World On the relevance of AI and ML research in academia algorithms FrankWolfe.jl: An Update on the Julia Package approximations Estimating Rare Probabilities bandits Linear Bandits on Uniformly Convex Sets bell polytope Improved local models and new Bell inequalities via Frank-Wolfe algorithms beta distribution Estimating Rare Probabilities binomial distribution Estimating Rare Probabilities byzantine On the Byzantine-Resilience of Distillation-Based Federated Learning causality The Box You Can't Open Twice: Newcomb's Paradox Through Four Mathematical Lenses 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 coloring Extending the Continuum of Six-Colorings combinatorial geometry Extending the Continuum of Six-Colorings commitments Committing to Secrets via Hashing competition New(!!) NeurIPS 2021 competition: Machine Learning for Discrete Optimization (ML4CO) computer science ZIB's Anniversary: Celebrating 40 Years of Innovation in Mathematics and Computer Science conditional gradients Monograph on Conditional Gradients and Frank-Wolfe methods conference Little’s Law and Conference Reviewing: the Queueing Perspective New(!!) NeurIPS 2021 competition: Machine Learning for Discrete Optimization (ML4CO) Join CO@Work and EWG-POR – online and for free! cryptography Committing to Secrets via Hashing decision-theory The Box You Can't Open Twice: Newcomb's Paradox Through Four Mathematical Lenses deep learning Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging How I Learned to Stop Worrying and Love Retraining deep neural networks DNN Training with Frank–Wolfe domain propagation Accelerating Domain Propagation via GPUs economics 2025 Nobel Prize in Economics: Innovation, Creative Destruction, and Sustainable Growth — and What It Means for Germany Why the hell does nobody build more affordable housing in Berlin?! edge computing SCIP x Raspberry Pi: SCIP on Edge education Between Theory and Reality: How Schools Grapple with Heterogeneity and Where AI Fits euclidean norm Sh**t you can do with the euclidean norm extended formulations Training Neural Networks with LPs Tractability limits of small treewidth federated learning On the Byzantine-Resilience of Distillation-Based Federated Learning finance Why the hell does nobody build more affordable housing in Berlin?! Universal Portfolios: how to (not) get rich first-order methods Conditional Gradients for the Approximately Vanishing Ideal first-order optimization Accelerated and Sparse Algorithms for Approximate Personalized PageRank and Beyond Acceleration of Frank-Wolfe algorithms with open loop step-sizes frank wolfe DNN Training with Frank–Wolfe frank-wolfe A Secant Method Line Search for Frank-Wolfe algorithms Alternating Linear Minimization Improved local models and new Bell inequalities via Frank-Wolfe algorithms 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 Conditional Gradients for the Approximately Vanishing Ideal game-theory The Box You Can't Open Twice: Newcomb's Paradox Through Four Mathematical Lenses graph theory Extending the Continuum of Six-Colorings growth 2025 Nobel Prize in Economics: Innovation, Creative Destruction, and Sustainable Growth — and What It Means for Germany hacking Collaborating online, in real-time, with math-support and computations hash Committing to Secrets via Hashing innovation 2025 Nobel Prize in Economics: Innovation, Creative Destruction, and Sustainable Growth — and What It Means for Germany interpretability Do LLM Outputs Mirror Their Internal Semantic Maps? A Large-Scale Behavioral Probing Study knowledge distillation On the Byzantine-Resilience of Distillation-Based Federated Learning learning Emulating the Expert line search A Secant Method Line Search for Frank-Wolfe algorithms llm-behavior Do LLM Outputs Mirror Their Internal Semantic Maps? A Large-Scale Behavioral Probing Study lp Training Neural Networks with LPs machine learning FrankWolfe.jl: An Update on the Julia Package Extending the Continuum of Six-Colorings DNN Training with Frank–Wolfe machine-learning The Agentic Researcher mathematics The Agentic Researcher ZIB's Anniversary: Celebrating 40 Years of Innovation in Mathematics and Computer Science minlp SCIP Optimization Suite 10.0: Exact Solving, Better Decompositions, and a More Productive Ecosystem mip SCIP Optimization Suite 10.0: Exact Solving, Better Decompositions, and a More Productive Ecosystem New(!!) 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) online-learning The Box You Can't Open Twice: Newcomb's Paradox Through Four Mathematical Lenses optimization SCIP Optimization Suite 10.0: Exact Solving, Better Decompositions, and a More Productive Ecosystem A New Default Open-Loop Step-Size for Frank-Wolfe? FrankWolfe.jl: An Update on the Julia Package On the Byzantine-Resilience of Distillation-Based Federated Learning 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 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 page-rank Accelerated and Sparse Algorithms for Approximate Personalized PageRank and Beyond philosophy The Box You Can't Open Twice: Newcomb's Paradox Through Four Mathematical Lenses physics A short intro to Special Relativity pocs Alternating Linear Minimization pruning Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging How I Learned to Stop Worrying and Love Retraining 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 relativity A short intro to Special Relativity rents Why the hell does nobody build more affordable housing in Berlin?! representation-learning Do LLM Outputs Mirror Their Internal Semantic Maps? A Large-Scale Behavioral Probing Study review Little’s Law and Conference Reviewing: the Queueing Perspective scip SCIP Optimization Suite 10.0: Exact Solving, Better Decompositions, and a More Productive Ecosystem An update on SCIP SCIP x Raspberry Pi: SCIP on Edge secant method A Secant Method Line Search for Frank-Wolfe algorithms semantic-geometry Do LLM Outputs Mirror Their Internal Semantic Maps? A Large-Scale Behavioral Probing Study sharpness On the unreasonable effectiveness of the greedy algorithm sparsity Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging How I Learned to Stop Worrying and Love Retraining step-size A New Default Open-Loop Step-Size for Frank-Wolfe? 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 von neumann Alternating Linear Minimization workflow The Agentic Researcher
2025 Nobel Prize in Economics: Innovation, Creative Destruction, and Sustainable Growth — and What It Means for Germany
2025 Nobel Prize in Economics: Innovation, Creative Destruction, and Sustainable Growth — and What It Means for Germany
2025 Nobel Prize in Economics: Innovation, Creative Destruction, and Sustainable Growth — and What It Means for Germany