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Theory

4,950 papers

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Papers

Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks NIPS 2022
The Impact of Task Underspecification in Evaluating Deep Reinforcement Learning NIPS 2022
Polynomial time guarantees for the Burer-Monteiro method NIPS 2022
New Lower Bounds for Private Estimation and a Generalized Fingerprinting Lemma NIPS 2022
Exact Solutions of a Deep Linear Network NIPS 2022
Near-Optimal Regret Bounds for Multi-batch Reinforcement Learning NIPS 2022
Gradient Descent Is Optimal Under Lower Restricted Secant Inequality And Upper Error Bound NIPS 2022
LieGG: Studying Learned Lie Group Generators NIPS 2022
Benign Overfitting in Two-layer Convolutional Neural Networks NIPS 2022
Disentangling the Predictive Variance of Deep Ensembles through the Neural Tangent Kernel NIPS 2022
High-dimensional limit theorems for SGD: Effective dynamics and critical scaling NIPS 2022
Improved Utility Analysis of Private CountSketch NIPS 2022
Multi-view Subspace Clustering on Topological Manifold NIPS 2022
Empirical Phase Diagram for Three-layer Neural Networks with Infinite Width NIPS 2022
Neural Abstractions NIPS 2022
The Gyro-Structure of Some Matrix Manifolds NIPS 2022
Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study NIPS 2022
Subspace clustering in high-dimensions: Phase transitions & Statistical-to-Computational gap NIPS 2022
Signal Propagation in Transformers: Theoretical Perspectives and the Role of Rank Collapse NIPS 2022
Imbalance Trouble: Revisiting Neural-Collapse Geometry NIPS 2022
Support Recovery in Sparse PCA with Incomplete Data NIPS 2022
Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees NIPS 2022
Explaining Preferences with Shapley Values NIPS 2022
Power and limitations of single-qubit native quantum neural networks NIPS 2022
On the Strong Correlation Between Model Invariance and Generalization NIPS 2022