Mathematics & Optimization

Federated Learning for Data Streams AISTATS 2023 Federated Linear Bandits with Finite Adversarial Actions NeurIPS 2023 Federated Multi-Objective Learning NeurIPS 2023 Federated Online and Bandit Convex Optimization ICML 2023 Few-Shot Non-Line-of-Sight Imaging With Signal-Surface Collaborative Regularization CVPR 2023 Filling the population statistics gap: Swiss German reference data on F0 and speech tempo for forensic contexts Interspeech 2023 Find a witness or shatter: the landscape of computable PAC learning. COLT 2023 Finding an ϵ-Close Minimal Variation of Parameters in Bayesian Networks IJCAI 2023 Finding Fair Allocations under Budget Constraints AAAI 2023 Finding Good Partial Assignments during Restart-Based Branch and Bound Search AAAI 2023 Finding Local Minima Efficiently in Decentralized Optimization NeurIPS 2023 Finding Regularized Competitive Equilibria of Heterogeneous Agent Macroeconomic Models via Reinforcement Learning AISTATS 2023 Fine-Grained Theoretical Analysis of Federated Zeroth-Order Optimization NeurIPS 2023 Finite-Sample Symmetric Mean Estimation with Fisher Information Rate COLT 2023 Finite-Time Analysis of Whittle Index based Q-Learning for Restless Multi-Armed Bandits with Neural Network Function Approximation NeurIPS 2023 Finite-time Koopman Identifier: A Unified Batch-online Learning Framework for Joint Learning of Koopman Structure and Parameters JMLR 2023 Finite-Time Logarithmic Bayes Regret Upper Bounds NeurIPS 2023 Finite-Trace Analysis of Stochastic Systems with Silent Transitions (Extended Abstract) IJCAI 2023 First- and Second-Order Bounds for Adversarial Linear Contextual Bandits NeurIPS 2023 First-Order Algorithms for Nonlinear Generalized Nash Equilibrium Problems JMLR 2023 First Order Methods with Markovian Noise: from Acceleration to Variational Inequalities NeurIPS 2023 First Order Stochastic Optimization with Oblivious Noise NeurIPS 2023 Fisher information lower bounds for sampling ALT 2023 Fisher Markets with Social Influence AAAI 2023 Fitting low-rank models on egocentrically sampled partial networks AISTATS 2023