Mathematics & Optimization

Multi-Scale Gradient-Guided Unrolling Architecture with Adaptive Mamba for Compressive Sensing CVPR 2026 MUSS: Multilevel Subset Selection for Relevance and Diversity UAI 2026 Nanoporous Materials Discovery via Search Bias-Guided Surrogate Modeling AAAI 2026 Nearly Minimax Discrete Distribution Estimation in Kullback-Leibler Divergence with High Probability ALT 2026 Near Optimal Convergence to Coarse Correlated Equilibrium in General-Sum Markov Games L4DC 2026 Near-optimal Linear Predictive Clustering in Non-separable Spaces via MIP and QPBO Reductions AAAI 2026 Nested Subspace Learning with Flags JMLR 2026 NESTOR: A Nested MOE-based Neural Operator for Large-Scale PDE Pre-Training CVPR 2026 Network Restoration Games with Quotas (Student Abstract) AAAI 2026 Node Regression on Latent Position Random Graphs via Local Averaging JMLR 2026 Nonlinear Axiomatic Attribution for Cooperative Games UAI 2026 Nonlinear function-on-function regression by RKHS JMLR 2026 Nonlocal Techniques for the Analysis of Deep ReLU Neural Network Approximations JMLR 2026 Non-Monotonicity in Fair Division of Graphs AAAI 2026 Not Just for Archiving: Provable Benefits of Reusing the Archive in Evolutionary Multi-objective Optimization AAAI 2026 On Condorcet’s Jury Theorem with Abstention AAAI 2026 One Model to Rule Them All: Canonically Gluing Causal Models Along Shared Substructures UAI 2026 Online Caching in Tree Networks: Algorithms, Regret, and Complexity L4DC 2026 Online Capacitated General Matching with Knapsack AAAI 2026 Online Convex Optimization with Sublinear Noisy Probes COLT 2026 Online Fair Allocations with Binary Valuations and Beyond AAAI 2026 Online Fair Allocation with Demand-Side Time-Dependent Weight UAI 2026 Online Linear Regression with Paid Stochastic Features AAAI 2026 Online Subspace Learning on Flag Manifolds for System Identification L4DC 2026 Online Tracking with Predictions for Nonlinear Systems with Koopman Linear Embedding L4DC 2026