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Learning Theory

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Papers

Cardinality-Aware Set Prediction and Top-k Classification NeurIPS 2024 Careful with that Scalpel: Improving Gradient Surgery with an EMA ICML 2024 Causal Bandits: The Pareto Optimal Frontier of Adaptivity, a Reduction to Linear Bandits, and Limitations around Unknown Marginals ICML 2024 Causal Bandits with General Causal Models and Interventions AISTATS 2024 CausalLM is not optimal for in-context learning ICLR 2024 Central Limit Theorem for Two-Timescale Stochastic Approximation with Markovian Noise: Theory and Applications AISTATS 2024 Certifiably Byzantine-Robust Federated Conformal Prediction ICML 2024 Certified private data release for sparse Lipschitz functions AISTATS 2024 Chain of Thoughtlessness? An Analysis of CoT in Planning NeurIPS 2024 Characterizing ResNet’s Universal Approximation Capability ICML 2024 CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model Generalization Analysis ICLR 2024 CK12: A Rounded K12 Knowledge Graph Based Benchmark for Chinese Holistic Cognition Evaluation AAAI 2024 Classification with Deep Neural Networks and Logistic Loss JMLR 2024 CLOMO: Counterfactual Logical Modification with Large Language Models ACL 2024 Coded Computing for Resilient Distributed Computing: A Learning-Theoretic Framework NeurIPS 2024 Collaborative Learning with Different Labeling Functions ICML 2024 Collaborative Performance Prediction for Large Language Models EMNLP 2024 Communication-Efficient Collaborative Regret Minimization in Multi-Armed Bandits AAAI 2024 Community detection in the hypergraph stochastic block model and reconstruction on hypertrees COLT 2024 Compact Proofs of Model Performance via Mechanistic Interpretability NeurIPS 2024 Compare without Despair: Reliable Preference Evaluation with Generation Separability EMNLP 2024 Comparing Comparators in Generalization Bounds AISTATS 2024 Compositional PAC-Bayes: Generalization of GNNs with persistence and beyond NeurIPS 2024 Computational-Statistical Gaps for Improper Learning in Sparse Linear Regression COLT 2024 Computational-Statistical Gaps in Gaussian Single-Index Models (Extended Abstract) COLT 2024