Mathematics & Optimization

Information Theoretic Bayesian Optimization over the Probability Simplex UAI 2026 Information-Theoretic Lower Bounds for Causal Inference under Credal Uncertainty UAI 2026 Information-theoretic signatures of causality in Bayesian networks and hypergraphs CLeaR 2026 Information-Theoretic Thresholds for Bipartite Latent-Space Graphs Under Noisy Observations COLT 2026 Instance Dependent Testing of Samplers Using Interval Conditioning AAAI 2026 Instrumental variables system identification with L^p consistency L4DC 2026 Interactive Multi-Objective Probabilistic Preference Learning with Soft and Hard Bounds UAI 2026 Intraoperative 2D/3D Registration via Spherical Similarity Learning and Differentiable Levenberg-Marquardt Optimization WACV 2026 Kareus: Joint Reduction of Dynamic and Static Energy in Large Model Training OSDI 2026 Kernel Integrated R^2: A Measure of Dependence UAI 2026 Koopman-BoxQP: Solving Large-Scale NMPC at kHz Rates L4DC 2026 Koopman Operator for Stability Analysis: Theory with a Linear–Radial Product Reproducing Kernel L4DC 2026 Landscape-Awareness for Geometric View Diffusion Model CVPR 2026 Large Average Subtensor Problem: Ground-State, Algorithms, and Algorithmic Barriers ALT 2026 Last-iterate Convergence for Symmetric, General-sum, 2 × 2 Games Under The Exponential Weights Dynamic ALT 2026 Last-Iterate Convergence of Randomized Kaczmarz and SGD with Greedy Step Size COLT 2026 Latent Linear Quadratic Regulator for Robotic Control Tasks L4DC 2026 Learnability-Driven Submodular Optimization for Active Roadside 3D Detection CVPR 2026 Learning Bayesian Network Classifiers to Minimize Class Variable Parameters JMLR 2026 Learning Decision-Sufficient Representations for Linear Optimization COLT 2026 Learning Eigenstructures of Unstructured Data Manifolds CVPR 2026 Learning Hierarchical Hyperbolic Mixture Model for Part-aware 3D Generation CVPR 2026 Learning Lineage-guided Geodesics with Finsler Geometry UAI 2026 Learning Stable Digraphs from Sparse-Input Linear Structural Causal Models UAI 2026 Learning to accelerate distributed ADMM using graph neural networks L4DC 2026