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Theory

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Embedded Ensembles: infinite width limit and operating regimes AISTATS 2022
A Random Matrix Perspective on Mixtures of Nonlinearities in High Dimensions AISTATS 2022
A Spectral Perspective of DNN Robustness to Label Noise AISTATS 2022
How and When Random Feedback Works: A Case Study of Low-Rank Matrix Factorization AISTATS 2022
Faster Single-loop Algorithms for Minimax Optimization without Strong Concavity AISTATS 2022
On the equivalence of Oja’s algorithm and GROUSE AISTATS 2022
Individual Fairness Guarantees for Neural Networks IJCAI 2022
Rethinking InfoNCE: How Many Negative Samples Do You Need? IJCAI 2022
Vanishing Curvature in Randomly Initialized Deep ReLU Networks AISTATS 2022
Beyond GNNs: An Efficient Architecture for Graph Problems 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
A Computable Definition of the Spectral Bias AAAI 2022
Rethinking Influence Functions of Neural Networks in the Over-Parameterized Regime AAAI 2022
Convex Analysis of the Mean Field Langevin Dynamics AISTATS 2022
Probing for the Usage of Grammatical Number ACL 2022
On the Implicit Bias of Gradient Descent for Temporal Extrapolation AISTATS 2022
RL with KL penalties is better viewed as Bayesian inference EMNLP 2022
Experimental Standards for Deep Learning in Natural Language Processing Research EMNLP 2022
Truncation Sampling as Language Model Desmoothing EMNLP 2022
3DeformRS: Certifying Spatial Deformations on Point Clouds CVPR 2022
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions With Superior OOD Generalization CVPR 2022
Understanding Uncertainty Maps in Vision With Statistical Testing CVPR 2022
Towards Better Understanding Attribution Methods CVPR 2022
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization CVPR 2022