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Theory

4,955 papers

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Papers

Editing Boolean Classifiers: A Belief Change Perspective AAAI 2023
On Undisputed Sets in Abstract Argumentation AAAI 2023
Approximating Full Conformal Prediction at Scale via Influence Functions AAAI 2023
Meta-Learning for Simple Regret Minimization AAAI 2023
A Parameterized Theory of PAC Learning AAAI 2023
Fully-Dynamic Decision Trees AAAI 2023
Tricking the Hashing Trick: A Tight Lower Bound on the Robustness of CountSketch to Adaptive Inputs AAAI 2023
Combining Slow and Fast: Complementary Filtering for Dynamics Learning AAAI 2023
Wasserstein Graph Distance Based on L1–Approximated Tree Edit Distance between Weisfeiler–Lehman Subtrees AAAI 2023
SigMaNet: One Laplacian to Rule Them All AAAI 2023
Local Intrinsic Dimensional Entropy AAAI 2023
Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis AAAI 2023
On Error and Compression Rates for Prototype Rules AAAI 2023
The Influence of Dimensions on the Complexity of Computing Decision Trees AAAI 2023
Generalization Bounds for Inductive Matrix Completion in Low-Noise Settings AAAI 2023
Improved Kernel Alignment Regret Bound for Online Kernel Learning AAAI 2023
Understanding the Generalization Performance of Spectral Clustering Algorithms AAAI 2023
On the Expressive Flexibility of Self-Attention Matrices AAAI 2023
Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks AAAI 2023
Online Reinforcement Learning with Uncertain Episode Lengths AAAI 2023
Tight Performance Guarantees of Imitator Policies with Continuous Actions AAAI 2023
Boundary Graph Neural Networks for 3D Simulations AAAI 2023
Towards Interpreting and Utilizing Symmetry Property in Adversarial Examples AAAI 2023
Why Capsule Neural Networks Do Not Scale: Challenging the Dynamic Parse-Tree Assumption AAAI 2023
An Operator Theoretic Approach for Analyzing Sequence Neural Networks AAAI 2023