Papers
12094 papers
ICML2025
ATA: Adaptive Task Allocation for Efficient Resource Management in Distributed Machine Learning
Summary pending...
Multi-Armed BanditUCBadaptive task allocation
ICML2025
Beyond Communication Overhead: A Multilevel Monte Carlo Approach for Mitigating Compression Bias in Distributed Learning
Summary pending...
Distributed LearningCompressed GradientsMultilevel Monte Carlo
ICML2025
Relational Conformal Prediction for Correlated Time Series
Summary pending...
uncertainty quantificationconformal predictiontime series forecasting
ICML2025
Maximum Total Correlation Reinforcement Learning
Summary pending...
Reinforcement LearningTotal Correlation
ICML2025
Tensor-Var: Efficient Four-Dimensional Variational Data Assimilation
Summary pending...
Data assimilationDynamical system
ICML2025
Diffusion models for Gaussian distributions: Exact solutions and Wasserstein errors
Summary pending...
Convergence of diffusion modelsGaussian processesWasserstein distance
ICML2025
Exogenous Isomorphism for Counterfactual Identifiability
Summary pending...
causalitycausal inferencecounterfactual identifiability
ICML2025
Function-Space Learning Rates
Summary pending...
deep learningoptimisationfunction space
ICML2025
From Theory to Practice: Rethinking Green and Martin Kernels for Unleashing Graph Transformers
Summary pending...
Graph TransformersGraph Neural NetworksStructural Encodings
ICML2025
Predicting the Susceptibility of Examples to Catastrophic Forgetting
Summary pending...
continual learningcatastrophic forgettingreplay buffer
ICML2025
Cradle: Empowering Foundation Agents towards General Computer Control
Summary pending...
Foundation AgentsLarge Multimodal ModelsDecision-making
ICML2025
Benign Overfitting in Token Selection of Attention Mechanism
Summary pending...
Attention mechanismtoken selectionbenign overfitting
ICML2025
Convergence of Mean-Field Langevin Stochastic Descent-Ascent for Distributional Minimax Optimization
Summary pending...
mean-field Langevin dynamicsminimax optimizationWasserstein gradient flow
ICML2025
Aggregation Buffer: Revisiting DropEdge with a New Parameter Block
Summary pending...
Graph neural networksDropEdgedata augmentation
ICML2025
When to retrain a machine learning model
Summary pending...
retraining;sequence modeling; forecasting performance
ICML2025
Multidimensional Adaptive Coefficient for Inference Trajectory Optimization in Flow and Diffusion
Summary pending...
Multidimensional Adaptive CoefficientInference Trajectory OptimizationFlow
ICML2025
Continuous Semi-Implicit Models
Summary pending...
Semi-Implicit Variational InferenceScore-Based Generative ModelsDiffusion Models Distillation
ICML2025
Learning to Trust Bellman Updates: Selective State-Adaptive Regularization for Offline RL
Summary pending...
offline reinforcement learningselective state-adaptive regularizationoffline-to-online reinforcement learning
ICML2025
HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting
Summary pending...
Irregular Multivariate Time SeriesTime Series ForecastingHypergraph Neural Networks
ICML2025
Clustering via Self-Supervised Diffusion
Summary pending...
Self-supervisedClusteringDiffusion