Learning Theory

Identification for Tree-Shaped Structural Causal Models in Polynomial Time AAAI 2024 Identifying Equivalent Training Dynamics NeurIPS 2024 Identifying Spurious Biases Early in Training through the Lens of Simplicity Bias AISTATS 2024 If You Want to Be Robust, Be Wary of Initialization NeurIPS 2024 ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object CVPR 2024 Impact of Decentralized Learning on Player Utilities in Stackelberg Games ICML 2024 Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States ICML 2024 Implicit bias of SGD in L_2-regularized linear DNNs: One-way jumps from high to low rank ICLR 2024 Implicit Optimization Bias of Next-token Prediction in Linear Models NeurIPS 2024 Implicit Regularization in Feedback Alignment Learning Mechanisms for Neural Networks ICML 2024 Improved Analysis for Bandit Learning in Matching Markets NeurIPS 2024 Improved Bounds for Pure Private Agnostic Learning: Item-Level and User-Level Privacy ICML 2024 Improved Hardness Results for Learning Intersections of Halfspaces COLT 2024 Improved Regret Bounds for Non-Convex Online-Within-Online Meta Learning ICLR 2024 Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion AISTATS 2024 Improved Sample Complexity Bounds for Diffusion Model Training NeurIPS 2024 Improved Sample Complexity for Multiclass PAC Learning NeurIPS 2024 Improved statistical and computational complexity of the mean-field Langevin dynamics under structured data ICLR 2024 Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training ICML 2024 Improving Adaptivity via Over-Parameterization in Sequence Models NeurIPS 2024 Improving Domain Generalization with Domain Relations ICLR 2024 Improving Generalization in Offline Reinforcement Learning via Adversarial Data Splitting ICML 2024 Improving Transfer Learning by means of Ensemble Learning and Swarm Intelligence-based Neuroevolution AutoML 2024 In2Core: Leveraging Influence Functions for Coreset Selection in Instruction Finetuning of Large Language Models EMNLP 2024 In-context Convergence of Transformers ICML 2024