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Learning Theory

5,312 papers

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Papers

VC Classes are Adversarially Robustly Learnable, but Only Improperly COLT 2019
A Theory of Selective Prediction COLT 2019
Classification with unknown class-conditional label noise on non-compact feature spaces COLT 2019
The All-or-Nothing Phenomenon in Sparse Linear Regression COLT 2019
How do infinite width bounded norm networks look in function space? COLT 2019
Model-based RL in Contextual Decision Processes: PAC bounds and Exponential Improvements over Model-free Approaches COLT 2019
The Gap Between Model-Based and Model-Free Methods on the Linear Quadratic Regulator: An Asymptotic Viewpoint COLT 2019
Gradient Descent for One-Hidden-Layer Neural Networks: Polynomial Convergence and SQ Lower Bounds COLT 2019
Open Problem: Is Margin Sufficient for Non-Interactive Private Distributed Learning? COLT 2019
Open Problem: How fast can a multiclass test set be overfit? COLT 2019
Open Problem: Do Good Algorithms Necessarily Query Bad Points? COLT 2019
Open Problem: Monotonicity of Learning COLT 2019
Open Problem: The Oracle Complexity of Convex Optimization with Limited Memory COLT 2019
On the Limits of Learning to Actively Learn Semantic Representations CONLL 2019
What Does It Mean to Learn in Deep Networks? And, How Does One Detect Adversarial Attacks? CVPR 2019
Strike (With) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects CVPR 2019
A Neurobiological Evaluation Metric for Neural Network Model Search CVPR 2019
Detecting Overfitting of Deep Generative Networks via Latent Recovery CVPR 2019
Practical Obstacles to Deploying Active Learning EMNLP 2019
Evaluation Benchmarks and Learning Criteria for Discourse-Aware Sentence Representations EMNLP 2019
To Annotate or Not? Predicting Performance Drop under Domain Shift EMNLP 2019
Posing Fair Generalization Tasks for Natural Language Inference EMNLP 2019
Do NLP Models Know Numbers? Probing Numeracy in Embeddings EMNLP 2019
Understanding Data Augmentation in Neural Machine Translation: Two Perspectives towards Generalization EMNLP 2019
Quantity doesn’t buy quality syntax with neural language models EMNLP 2019