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Learning Theory

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Papers

Is Score Matching Suitable for Estimating Point Processes? NeurIPS 2024 Is Temperature Sample Efficient for Softmax Gaussian Mixture of Experts? ICML 2024 Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-constraint ICML 2024 Iterative Regularization with k-support Norm: An Important Complement to Sparse Recovery AAAI 2024 kGym: A Platform and Dataset to Benchmark Large Language Models on Linux Kernel Crash Resolution NeurIPS 2024 Koopman-based generalization bound: New aspect for full-rank weights ICLR 2024 Language Generation in the Limit NeurIPS 2024 Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNs EMNLP 2024 Large Language Models are Limited in Out-of-Context Knowledge Reasoning EMNLP 2024 Large Language Models Are Not Strong Abstract Reasoners IJCAI 2024 Large Stepsize Gradient Descent for Logistic Loss: Non-Monotonicity of the Loss Improves Optimization Efficiency COLT 2024 Large Stepsize Gradient Descent for Non-Homogeneous Two-Layer Networks: Margin Improvement and Fast Optimization NeurIPS 2024 Lasso with Latents: Efficient Estimation, Covariate Rescaling, and Computational-Statistical Gaps COLT 2024 Latent Space Symmetry Discovery ICML 2024 LatestEval: Addressing Data Contamination in Language Model Evaluation through Dynamic and Time-Sensitive Test Construction AAAI 2024 LatEval: An Interactive LLMs Evaluation Benchmark with Incomplete Information from Lateral Thinking Puzzles COLING 2024 Layerwise Change of Knowledge in Neural Networks ICML 2024 Learnability Gaps of Strategic Classification COLT 2024 Learnability of high-dimensional targets by two-parameter models and gradient flow NeurIPS 2024 Learnability of Linear Port-Hamiltonian Systems JMLR 2024 Learning and Transferring Sparse Contextual Bigrams with Linear Transformers NeurIPS 2024 Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise NeurIPS 2024 Learning-Based Algorithms for Graph Searching Problems AISTATS 2024 Learning bounded-degree polytrees with known skeleton ALT 2024 Learning Cut Generating Functions for Integer Programming NeurIPS 2024