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Papers
Exponential Tail Local Rademacher Complexity Risk Bounds Without the Bernstein Condition
JMLR 2024
Extremely Greedy Equivalence Search
UAI 2024
Failures and Successes of Cross-Validation for Early-Stopped Gradient Descent
AISTATS 2024
Granger Causal Inference in Multivariate Hawkes Processes by Minimum Message Length
JMLR 2024
Graph fission and cross-validation
AISTATS 2024
Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing
ICLR 2024
Improving Neural Network Generalization on Data-Limited Regression with Doubly-Robust Boosting
AAAI 2024
IW-GAE: Importance weighted group accuracy estimation for improved calibration and model selection in unsupervised domain adaptation
ICML 2024
Label-Efficient Model Selection for Text Generation
ACL 2024
LEAD: Exploring Logit Space Evolution for Model Selection
CVPR 2024
Leveraging Estimated Transferability Over Human Intuition for Model Selection in Text Ranking
EMNLP 2024
On Leakage of Code Generation Evaluation Datasets
EMNLP 2024
On the Computational Complexity of Private High-dimensional Model Selection
NeurIPS 2024
On the Lasso for Graphical Continuous Lyapunov Models
CLeaR 2024
On the Necessity of Collaboration for Online Model Selection with Decentralized Data
NeurIPS 2024
Post-Hoc Reversal: Are We Selecting Models Prematurely?
NeurIPS 2024
Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How
ICLR 2024
RouterDC: Query-Based Router by Dual Contrastive Learning for Assembling Large Language Models
NeurIPS 2024
Scaling Laws in Linear Regression: Compute, Parameters, and Data
NeurIPS 2024
Self-Compatibility: Evaluating Causal Discovery without Ground Truth
AISTATS 2024
Sparsity-Agnostic Linear Bandits with Adaptive Adversaries
NeurIPS 2024
Symmetric Linear Bandits with Hidden Symmetry
NeurIPS 2024
Test-Time Adaptation Induces Stronger Accuracy and Agreement-on-the-Line
NeurIPS 2024
Towards Costless Model Selection in Contextual Bandits: A Bias-Variance Perspective
AISTATS 2024
Towards Making Learnware Specification and Market Evolvable
AAAI 2024