Papers
12094 papers
ICML2024
Scaling Laws for the Value of Individual Data Points in Machine Learning
Summary pending...
ICML2024
Revisiting Scalable Hessian Diagonal Approximations for Applications in Reinforcement Learning
Summary pending...
ICML2024
A New Theoretical Perspective on Data Heterogeneity in Federated Optimization
Summary pending...
ICML2024
Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation
Summary pending...
ICML2024
Asymptotically Optimal and Computationally Efficient Average Treatment Effect Estimation in A/B testing
Summary pending...
ICML2024
Locality-Sensitive Hashing-Based Efficient Point Transformer with Applications in High-Energy Physics
Summary pending...
ICML2024
Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples
Summary pending...
ICML2024
Transformers Learn Nonlinear Features In Context: Nonconvex Mean-field Dynamics on the Attention Landscape
Summary pending...
ICML2024
Lessons from Generalization Error Analysis of Federated Learning: You May Communicate Less Often!
Summary pending...
ICML2024
Position: Beyond Personhood: Agency, Accountability, and the Limits of Anthropomorphic Ethical Analysis
Summary pending...
ICML2024
Towards General Algorithm Discovery for Combinatorial Optimization: Learning Symbolic Branching Policy from Bipartite Graph
Summary pending...
ICML2024
Jetfire: Efficient and Accurate Transformer Pretraining with INT8 Data Flow and Per-Block Quantization
Summary pending...