Papers

12094 papers

ICML2024

Bias of Stochastic Gradient Descent or the Architecture: Disentangling the Effects of Overparameterization of Neural Networks

Summary pending...

ICML2024

Mean-field Analysis on Two-layer Neural Networks from a Kernel Perspective

Summary pending...

ICML2024

Reducing Balancing Error for Causal Inference via Optimal Transport

Summary pending...

ICML2024

Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimization

Summary pending...

ICML2024

Predicting and Interpreting Energy Barriers of Metallic Glasses with Graph Neural Networks

Summary pending...

ICML2024

Disentanglement Learning via Topology

Summary pending...

ICML2024

Effective Federated Graph Matching

Summary pending...

ICML2024

Self-Consistency Training for Density-Functional-Theory Hamiltonian Prediction

Summary pending...

ICML2024

Cross-domain Open-world Discovery

Summary pending...

ICML2024

CF-OPT: Counterfactual Explanations for Structured Prediction

Summary pending...

ICML2024

On the Recoverability of Causal Relations from Temporally Aggregated I.I.D. Data

Summary pending...

ICML2024

CARTE: Pretraining and Transfer for Tabular Learning

Summary pending...

ICML2024

Error Feedback Can Accurately Compress Preconditioners

Summary pending...

ICML2024

Neural Collapse in Multi-label Learning with Pick-all-label Loss

Summary pending...

ICML2024

Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States

Summary pending...

ICML2024

Understanding Heterophily for Graph Neural Networks

Summary pending...

ICML2024

State-Free Inference of State-Space Models: The *Transfer Function* Approach

Summary pending...

ICML2024

Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods?

Summary pending...

ICML2024

Physics and Lie symmetry informed Gaussian processes

Summary pending...

ICML2024

Tandem Transformers for Inference Efficient LLMs

Summary pending...