convex hull

Tight Robustness Certification Through the Convex Hull of ℓ₀ Attacks AAAI 2026 Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models ICML 2025 Function Encoders: A Principled Approach to Transfer Learning in Hilbert Spaces ICML 2025 Proofs as Explanations: Short Certificates for Reliable Predictions COLT 2025 CHASE: Learning Convex Hull Adaptive Shift for Skeleton-based Multi-Entity Action Recognition NeurIPS 2024 DNCs Require More Planning Steps ICML 2024 Generalizing Clinical Trials with Convex Hulls CLeaR 2023 A Simple and Efficient Sampling-based Algorithm for General Reachability Analysis L4DC 2022 A New Vowel Normalization for Sociophonetics Interspeech 2021 Beyond Bounding-Box: Convex-Hull Feature Adaptation for Oriented and Densely Packed Object Detection CVPR 2021 Finding k in Latent $k-$ polytope ICML 2021 Partition-Based Formulations for Mixed-Integer Optimization of Trained ReLU Neural Networks NeurIPS 2021 A Geometric Approach to Archetypal Analysis via Sparse Projections ICML 2020 Random Projections and α-Shape to Support the Kernel Design (Student Abstract) AAAI 2020 The Area of the Convex Hull of Sampled Curves: a Robust Functional Statistical Depth measure AISTATS 2020 Coresets for Archetypal Analysis NeurIPS 2019 Discriminatively Learned Convex Models for Set Based Face Recognition ICCV 2019 Optimizing over a Restricted Policy Class in MDPs AISTATS 2019 Robust Vertex Enumeration for Convex Hulls in High Dimensions AISTATS 2018 Conic Scan-and-Cover algorithms for nonparametric topic modeling NeurIPS 2017 Frame-based Data Factorizations ICML 2017 Sparse Approximate Conic Hulls NeurIPS 2017 Subspace Clustering via Tangent Cones NeurIPS 2017 Convex Hull Convolutive Non-Negative Matrix Factorization for Uncovering Temporal Patterns in Multivariate Time-Series Data Interspeech 2016 The Chordal Graph Polytope for Learning Decomposable Models PGM 2016