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Theory

1072 directly classified papers

Papers per year

Papers

UMB: Understanding Model Behavior for Open-World Object Detection NIPS 2024
Provable Robustness against a Union of L_0 Adversarial Attacks AAAI 2024
Deep linear networks for regression are implicitly regularized towards flat minima NIPS 2024
Parameter Symmetry and Noise Equilibrium of Stochastic Gradient Descent NIPS 2024
Learnability of high-dimensional targets by two-parameter models and gradient flow NIPS 2024
SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification AISTATS 2024
Error Correction Output Codes for Robust Neural Networks against Weight-errors: A Neural Tangent Kernel Point of View NIPS 2024
Stable Minima Cannot Overfit in Univariate ReLU Networks: Generalization by Large Step Sizes NIPS 2024
Backward Lens: Projecting Language Model Gradients into the Vocabulary Space EMNLP 2024
One-Layer Transformer Provably Learns One-Nearest Neighbor In Context NIPS 2024
Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models EMNLP 2024
Towards Efficient Verification of Quantized Neural Networks AAAI 2024
Towards Interpretable Sequence Continuation: Analyzing Shared Circuits in Large Language Models EMNLP 2024
Globally Convergent Variational Inference NIPS 2024
A provable control of sensitivity of neural networks through a direct parameterization of the overall bi-Lipschitzness NIPS 2024
Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures AISTATS 2024
Base of RoPE Bounds Context Length NIPS 2024
Spectrum Extraction and Clipping for Implicitly Linear Layers AISTATS 2024
Unraveling the Gradient Descent Dynamics of Transformers NIPS 2024
Towards Large Certified Radius in Randomized Smoothing Using Quasiconcave Optimization AAAI 2024
Implicit Optimization Bias of Next-token Prediction in Linear Models NIPS 2024
Effect of Ambient-Intrinsic Dimension Gap on Adversarial Vulnerability AISTATS 2024
Nonlinear dynamics of localization in neural receptive fields NIPS 2024
Combining Statistical Depth and Fermat Distance for Uncertainty Quantification NIPS 2024
An exactly solvable model for emergence and scaling laws in the multitask sparse parity problem NIPS 2024