Mathematics & Optimization

Quantitative Convergences of Lie Group Momentum Optimizers NeurIPS 2024 Quantum algorithm for large-scale market equilibrium computation NeurIPS 2024 Quantum Algorithm for Online Exp-concave Optimization ICML 2024 Quantum Algorithms and Lower Bounds for Finite-Sum Optimization ICML 2024 Quantum Algorithms for Non-smooth Non-convex Optimization NeurIPS 2024 Quantum Deep Equilibrium Models NeurIPS 2024 Quantum Theory and Application of Contextual Optimal Transport ICML 2024 Quasi-Bayes meets Vines NeurIPS 2024 Quasi-Monte Carlo Features for Kernel Approximation ICML 2024 Quasi-Monte Carlo for 3D Sliced Wasserstein ICLR 2024 Query-Efficient Correlation Clustering with Noisy Oracle NeurIPS 2024 Queueing Matching Bandits with Preference Feedback NeurIPS 2024 QWO: Speeding Up Permutation-Based Causal Discovery in LiGAMs NeurIPS 2024 R$^2$-Gaussian: Rectifying Radiative Gaussian Splatting for Tomographic Reconstruction NeurIPS 2024 RandNet-Parareal: a time-parallel PDE solver using Random Neural Networks NeurIPS 2024 Random Exploration in Bayesian Optimization: Order-Optimal Regret and Computational Efficiency ICML 2024 Random features approximation for control-affine systems L4DC 2024 Random Forest Weighted Local Fréchet Regression with Random Objects JMLR 2024 Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces NeurIPS 2024 Randomized Confidence Bounds for Stochastic Partial Monitoring ICML 2024 Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation NeurIPS 2024 Randomized Learning-Augmented Auctions with Revenue Guarantees IJCAI 2024 Randomized Strategic Facility Location with Predictions NeurIPS 2024 Randomized Truthful Auctions with Learning Agents NeurIPS 2024 Random matrix theory improved Fréchet mean of symmetric positive definite matrices ICML 2024