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Learning Theory

5312 directly classified papers

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Papers

Generalized test utilities for long-tail performance in extreme multi-label classification NIPS 2023
Rigorously Assessing Natural Language Explanations of Neurons EMNLP 2023
Instance-Dependent Generalization Bounds via Optimal Transport JMLR 2023
Dropout Training is Distributionally Robust Optimal JMLR 2023
Systematic Generalization by Finetuning? Analyzing Pretrained Language Models Using Constituency Tests EMNLP 2023
Automata Cascades: Expressivity and Sample Complexity AAAI 2023
Generalization Bounds for Noisy Iterative Algorithms Using Properties of Additive Noise Channels JMLR 2023
Effects of Human Adversarial and Affable Samples on BERT Generalization EMNLP 2023
Understanding the Generalization Performance of Spectral Clustering Algorithms AAAI 2023
Shifted PAUQ: Distribution shift in text-to-SQL EMNLP 2023
NEWTON: Are Large Language Models Capable of Physical Reasoning? EMNLP 2023
Improved Kernel Alignment Regret Bound for Online Kernel Learning AAAI 2023
Provable Pathways: Learning Multiple Tasks over Multiple Paths AAAI 2023
Stability-Based Generalization Analysis for Mixtures of Pointwise and Pairwise Learning AAAI 2023
On the Complexity of PAC Learning in Hilbert Spaces AAAI 2023
Double Doubly Robust Thompson Sampling for Generalized Linear Contextual Bandits AAAI 2023
Does It Pay to Optimize AUC? AAAI 2023
Generalization Bounds using Data-Dependent Fractal Dimensions ICML 2023
A Parameterized Theory of PAC Learning AAAI 2023
ReadPrompt: A Readable Prompting Method for Reliable Knowledge Probing EMNLP 2023
Partial-Label Regression AAAI 2023
Efficient Algorithms for Regret Minimization in Billboard Advertisement (Student Abstract) AAAI 2023
Polarity Is All You Need to Learn and Transfer Faster ICML 2023
A Unified Recipe for Deriving (Time-Uniform) PAC-Bayes Bounds JMLR 2023
Transformer Working Memory Enables Regular Language Reasoning And Natural Language Length Extrapolation EMNLP 2023