Papers
12094 papers
ICML2025
On the Private Estimation of Smooth Transport Maps
Summary pending...
Differential PrivacyOptimal TransportStatistics
ICML2025
Ranked Entropy Minimization for Continual Test-Time Adaptation
Summary pending...
continual test time adaptationentropy minimizationmasked image modeling
ICML2025
Dynamic Similarity Graph Construction with Kernel Density Estimation
Summary pending...
similarity graphskernel density estimationspectral clustering
ICML2025
ATA: Adaptive Task Allocation for Efficient Resource Management in Distributed Machine Learning
Summary pending...
Multi-Armed BanditUCBadaptive task allocation
ICML2025
Teaching Transformers Causal Reasoning through Axiomatic Training
Summary pending...
CausalityAxiomsTransformers
ICML2025
Beyond Communication Overhead: A Multilevel Monte Carlo Approach for Mitigating Compression Bias in Distributed Learning
Summary pending...
Distributed LearningCompressed GradientsMultilevel Monte Carlo
ICML2025
A Unified Theoretical Analysis of Private and Robust Offline Alignment: from RLHF to DPO
Summary pending...
Differential Privacy; LLM Alignment; Robustness
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
Riemannian Diffusion Adaptation for Distributed Optimization on Manifolds
Summary pending...
Riemannian optimizationdecentralized optimizationintrinsic method
ICML2025
Revolve: Optimizing AI Systems by Tracking Response Evolution in Textual Optimization
Summary pending...
Large Language ModelsResponse EvolutionTextual Optimization
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
FedSMU: Communication-Efficient and Generalization-Enhanced Federated Learning through Symbolic Model Updates
Summary pending...
Federated learningefficient communicationenhanced generalization
ICML2025
From Theory to Practice: Rethinking Green and Martin Kernels for Unleashing Graph Transformers
Summary pending...
Graph TransformersGraph Neural NetworksStructural Encodings
ICML2025
Product of Experts with LLMs: Boosting Performance on ARC Is a Matter of Perspective
Summary pending...
Abstraction and Reasoning Corpus (ARC)ARC-AGILarge Language Models
ICML2025
Adjusting Model Size in Continual Gaussian Processes: How Big is Big Enough?
Summary pending...
continual learninggaussian processesadaptive model capacity
ICML2025
Jacobian Sparse Autoencoders: Sparsify Computations, Not Just Activations
Summary pending...
Mechanistic InterpretabilitySparse AutoencodersSuperposition