Mathematics & Optimization

A Data-Adaptive RKHS Prior for Bayesian Learning of Kernels in Operators JMLR 2024 Ad Auctions for LLMs via Retrieval Augmented Generation NeurIPS 2024 Addressing Bias in Online Selection with Limited Budget of Comparisons NeurIPS 2024 A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Health NeurIPS 2024 A De-singularity Subgradient Approach for the Extended Weber Location Problem IJCAI 2024 A Discretization Framework for Robust Contextual Stochastic Optimization ICLR 2024 AdjointDEIS: Efficient Gradients for Diffusion Models NeurIPS 2024 Adjusted Wasserstein Distributionally Robust Estimator in Statistical Learning JMLR 2024 Adjust Pearson's r to Measure Arbitrary Monotone Dependence NeurIPS 2024 A Doubly Recursive Stochastic Compositional Gradient Descent Method for Federated Multi-Level Compositional Optimization ICML 2024 Advancing the Lower Bounds: an Accelerated, Stochastic, Second-order Method with Optimal Adaptation to Inexactness ICLR 2024 Advection Augmented Convolutional Neural Networks NeurIPS 2024 Adversarial Attacks on Combinatorial Multi-Armed Bandits ICML 2024 Adversarial Contextual Bandits Go Kernelized ALT 2024 Adversarially-Robust Inference on Trees via Belief Propagation COLT 2024 Adversarial Online Learning with Temporal Feedback Graphs COLT 2024 Adversarial Schrödinger Bridge Matching NeurIPS 2024 Adversarial Socialbots Modeling Based on Structural Information Principles AAAI 2024 A Dynamic Algorithm for Weighted Submodular Cover Problem ICML 2024 A Dynamic Kernel Prior Model for Unsupervised Blind Image Super-Resolution CVPR 2024 Aerodynamics of Sakata labial-velar oral stops Interspeech 2024 A Fast Algorithm for MaxSAT above Half Number of Clauses IJCAI 2024 A fast algorithm to simulate nonlinear resistive networks ICML 2024 A Fast and Provable Algorithm for Sparse Phase Retrieval ICLR 2024 A faster and simpler algorithm for learning shallow networks COLT 2024