Mathematics & Optimization

Generalized Linear Bandits with Limited Adaptivity NeurIPS 2024 Generalized Smooth Variational Inequalities: Methods with Adaptive Stepsizes ICML 2024 Generalized Sobolev Transport for Probability Measures on a Graph ICML 2024 Generalized Tensor Decomposition for Understanding Multi-Output Regression under Combinatorial Shifts NeurIPS 2024 Generalized Variational Inference via Optimal Transport AAAI 2024 General Tail Bounds for Non-Smooth Stochastic Mirror Descent AISTATS 2024 Generate Synthetic Text Approximating the Private Distribution with Differential Privacy IJCAI 2024 Generative Fractional Diffusion Models NeurIPS 2024 Geometric Learning with Positively Decomposable Kernels JMLR 2024 Geometric No-U-Turn Samplers: Concepts and Evaluation PGM 2024 Geometry-Aware Instrumental Variable Regression ICML 2024 Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications ICML 2024 GeONet: a neural operator for learning the Wasserstein geodesic UAI 2024 Getting More by Knowing Less: Bayesian Incentive Compatible Mechanisms for Fair Division IJCAI 2024 GGD: Grafting Gradient Descent JMLR 2024 Gibbs-Based Information Criteria and the Over-Parameterized Regime AISTATS 2024 Gibbs Sampling of Continuous Potentials on a Quantum Computer ICML 2024 Global Latent Neural Rendering CVPR 2024 Global Lyapunov functions: a long-standing open problem in mathematics, with symbolic transformers NeurIPS 2024 Globally Q-linear Gauss-Newton Method for Overparameterized Non-convex Matrix Sensing NeurIPS 2024 Global Optimality for Non-linear Constrained Restoration Problems via Invexity ICLR 2024 Global Rewards in Restless Multi-Armed Bandits NeurIPS 2024 GLOP: Learning Global Partition and Local Construction for Solving Large-Scale Routing Problems in Real-Time AAAI 2024 GmGM: a fast multi-axis Gaussian graphical model AISTATS 2024 Goidelex: A Lexical Resource for Old Irish COLING 2024