Optimization

Adapted Weighted Aggregation in Federated Learning AAAI 2024 Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate ICML 2024 Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning ICML 2024 Adaptive and Optimal Second-order Optimistic Methods for Minimax Optimization NeurIPS 2024 Adaptive Batch Sizes for Active Learning: A Probabilistic Numerics Approach AISTATS 2024 Adaptive Conformal Inference by Betting ICML 2024 Adaptive deep spiking neural network with global-local learning via balanced excitatory and inhibitory mechanism ICLR 2024 Adaptive Federated Learning with Auto-Tuned Clients ICLR 2024 Adaptive Federated Minimax Optimization with Lower Complexities AISTATS 2024 Adaptive-Gradient Policy Optimization: Enhancing Policy Learning in Non-Smooth Differentiable Simulations ICML 2024 Adaptive Hardness Negative Sampling for Collaborative Filtering AAAI 2024 Adaptive Immune-based Sound-Shape Code Substitution for Adversarial Chinese Text Attacks EMNLP 2024 Adaptive Learning Rate for Follow-the-Regularized-Leader: Competitive Analysis and Best-of-Both-Worlds COLT 2024 Adaptive Preference Scaling for Reinforcement Learning with Human Feedback NeurIPS 2024 Adaptive Proximal Gradient Method for Convex Optimization NeurIPS 2024 Adaptive Proximal Gradient Methods Are Universal Without Approximation ICML 2024 Adaptive Quasi-Newton and Anderson Acceleration Framework with Explicit Global (Accelerated) Convergence Rates AISTATS 2024 Adaptive Randomized Smoothing: Certified Adversarial Robustness for Multi-Step Defences NeurIPS 2024 Adaptive Rank Selections for Low-Rank Approximation of Language Models NAACL 2024 Adaptive Sampling for Efficient Softmax Approximation NeurIPS 2024 Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology Prediction ICML 2024 Adaptive Stabilization Based on Machine Learning for Column Generation ICML 2024 Adaptive Stochastic Gradient Algorithm for Black-box Multi-Objective Learning ICLR 2024 Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for Online Convex Optimization JMLR 2024 A data-driven model of acoustic speech intelligibility for optimization-based models of speech production Interspeech 2024