Mathematics & Optimization

Finite-Sample Maximum Likelihood Estimation of Location NeurIPS 2022 Finite-Sum Coupled Compositional Stochastic Optimization: Theory and Applications ICML 2022 Finite-Time Last-Iterate Convergence for Learning in Multi-Player Games NeurIPS 2022 Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits NeurIPS 2022 First-Order Algorithms for Min-Max Optimization in Geodesic Metric Spaces NeurIPS 2022 First-Order Convex Fitting and Its Application to Economics and Optimization AAAI 2022 First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach ICML 2022 First Order Rewritability in Ontology-Mediated Querying in Horn Description Logics AAAI 2022 Fixation Maximization in the Positional Moran Process AAAI 2022 Fixed-Budget Best-Arm Identification in Structured Bandits IJCAI 2022 Fixed-Distance Hamiltonian Monte Carlo NeurIPS 2022 Fixed Support Tree-Sliced Wasserstein Barycenter AISTATS 2022 Fixing Knockout Tournaments With Seeds IJCAI 2022 Fixing the Bethe approximation: How structural modifications in a graph improve belief propagation UAI 2022 Flexible Accuracy for Differential Privacy AISTATS 2022 FlowHMM: Flow-based continuous hidden Markov models NeurIPS 2022 FLS: A New Local Search Algorithm for K-means with Smaller Search Space IJCAI 2022 Forgiving Debt in Financial Network Games IJCAI 2022 Formula Synthesis in Propositional Dynamic Logic with Shuffle AAAI 2022 Forward Looking Best-Response Multiplicative Weights Update Methods for Bilinear Zero-sum Games AISTATS 2022 FourierFormer: Transformer Meets Generalized Fourier Integral Theorem NeurIPS 2022 Fourier Learning with Cyclical Data ICML 2022 Fourier Representations for Black-Box Optimization over Categorical Variables AAAI 2022 Frank-Wolfe-based Algorithms for Approximating Tyler's M-estimator NeurIPS 2022 Free Probability for predicting the performance of feed-forward fully connected neural networks NeurIPS 2022