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Theory

4,950 papers

Papers per year

Papers

Entropy-Based Logic Explanations of Neural Networks AAAI 2022
Modeling Attrition in Recommender Systems with Departing Bandits AAAI 2022
Zero Stability Well Predicts Performance of Convolutional Neural Networks AAAI 2022
KAM Theory Meets Statistical Learning Theory: Hamiltonian Neural Networks with Non-zero Training Loss AAAI 2022
GoTube: Scalable Statistical Verification of Continuous-Depth Models AAAI 2022
Theoretical Guarantees of Fictitious Discount Algorithms for Episodic Reinforcement Learning and Global Convergence of Policy Gradient Methods AAAI 2022
iDECODe: In-Distribution Equivariance for Conformal Out-of-Distribution Detection AAAI 2022
Dist2Cycle: A Simplicial Neural Network for Homology Localization AAAI 2022
Spatial Frequency Bias in Convolutional Generative Adversarial Networks AAAI 2022
A Computable Definition of the Spectral Bias AAAI 2022
Tight Neural Network Verification via Semidefinite Relaxations and Linear Reformulations AAAI 2022
Stability Verification in Stochastic Control Systems via Neural Network Supermartingales AAAI 2022
Sharp Restricted Isometry Property Bounds for Low-Rank Matrix Recovery Problems with Corrupted Measurements AAAI 2022
Hard to Forget: Poisoning Attacks on Certified Machine Unlearning AAAI 2022
An Experimental Design Approach for Regret Minimization in Logistic Bandits AAAI 2022
An Evaluative Measure of Clustering Methods Incorporating Hyperparameter Sensitivity AAAI 2022
Provable Guarantees for Understanding Out-of-Distribution Detection AAAI 2022
Random Tensor Theory for Tensor Decomposition AAAI 2022
On the Impossibility of Non-trivial Accuracy in Presence of Fairness Constraints AAAI 2022
Verification of Neural-Network Control Systems by Integrating Taylor Models and Zonotopes AAAI 2022
Learning Bounded Context-Free-Grammar via LSTM and the Transformer: Difference and the Explanations AAAI 2022
Feature Importance Explanations for Temporal Black-Box Models AAAI 2022
Reward-Weighted Regression Converges to a Global Optimum AAAI 2022
Reinforcement Learning Augmented Asymptotically Optimal Index Policy for Finite-Horizon Restless Bandits AAAI 2022
Convergence and Optimality of Policy Gradient Methods in Weakly Smooth Settings AAAI 2022