Machine Learning

Distributed Event-Based Learning via ADMM ICML 2025 Distributed LLM Serving on Consumer-Grade GPUs by Reconciling Computation and Communication EMNLP 2025 Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal ICML 2025 Distributed Parallel Gradient Stacking(DPGS): Solving Whole Slide Image Stacking Challenge in Multi-Instance Learning ICML 2025 Distributed Retraction-Free and Communication-Efficient Optimization on the Stiefel Manifold ICML 2025 Distributed Speculative Inference (DSI): Speculation Parallelism for Provably Faster Lossless Language Model Inference ICLR 2025 Distributed Stochastic Bilevel Optimization: Improved Complexity and Heterogeneity Analysis JMLR 2025 Distributional Adversarial Loss AISTATS 2025 Distributional Associations vs In-Context Reasoning: A Study of Feed-forward and Attention Layers ICLR 2025 Distributional Diffusion Models with Scoring Rules ICML 2025 Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls UAI 2025 Distributionally Robust Active Learning for Gaussian Process Regression ICML 2025 Distributionally Robust Multi-Agent Reinforcement Learning for Dynamic Chute Mapping ICML 2025 Distributionally Robust Policy Evaluation and Learning for Continuous Treatment with Observational Data AAAI 2025 Distributionally Robust Policy Learning under Concept Drifts ICML 2025 Distributional Off-policy Evaluation with Bellman Residual Minimization AISTATS 2025 Distributional Reinforcement Learning with Dual Expectile-Quantile Regression UAI 2025 Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective ICML 2025 Distribution-Aware Mean Estimation under User-level Local Differential Privacy AISTATS 2025 Distribution-Aware Online Learning for Urban Spatiotemporal Forecasting on Streaming Data IJCAI 2025 Distribution Backtracking Builds A Faster Convergence Trajectory for Diffusion Distillation ICLR 2025 Distribution-Consistency-Guided Multi-modal Hashing AAAI 2025 Distribution-Driven Dense Retrieval: Modeling Many-to-One Query-Document Relationship AAAI 2025 Distribution Estimation under the Infinity Norm JMLR 2025 Distribution-Free Data Uncertainty for Neural Network Regression ICLR 2025