Papers
12094 papers
ICML2024
Towards Theoretical Understanding of Learning Large-scale Dependent Data via Random Features
Summary pending...
ICML2024
KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions
Summary pending...
ICML2024
Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning
Summary pending...
ICML2024
Evaluation of Test-Time Adaptation Under Computational Time Constraints
Summary pending...
ICML2024
Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models
Summary pending...
ICML2024
Generalization Error of Graph Neural Networks in the Mean-field Regime
Summary pending...
ICML2024
Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm
Summary pending...
ICML2024
Towards Causal Foundation Model: on Duality between Optimal Balancing and Attention
Summary pending...
ICML2024
Bridging discrete and continuous state spaces: Exploring the Ehrenfest process in time-continuous diffusion models
Summary pending...
ICML2024
Repeat After Me: Transformers are Better than State Space Models at Copying
Summary pending...
ICML2024
Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate
Summary pending...
ICML2024
Sample Average Approximation for Conditional Stochastic Optimization with Dependent Data
Summary pending...