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Theory

4950 directly classified papers

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Papers

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning AAAI 2025
Certified Causal Defense with Generalizable Robustness AAAI 2025
Multi-Objective Evolution of Heuristic Using Large Language Model AAAI 2025
From Stories to Statistics: Methodological Biases in LLM-Based Narrative Flow Quantification CONLL 2025
Bagging Provides Assumption-free Stability JMLR 2024
Matryoshka Policy Gradient for Entropy-Regularized RL: Convergence and Global Optimality JMLR 2024
Anvil: Verifying Liveness of Cluster Management Controllers OSDI 2024
Learnability of Linear Port-Hamiltonian Systems JMLR 2024
Can Biases in ImageNet Models Explain Generalization? CVPR 2024
Targeted Separation and Convergence with Kernel Discrepancies JMLR 2024
Residual Learning in Diffusion Models CVPR 2024
Random Fully Connected Neural Networks as Perturbatively Solvable Hierarchies JMLR 2024
Token Transformation Matters: Towards Faithful Post-hoc Explanation for Vision Transformer CVPR 2024
Deep Neural Network Approximation of Invariant Functions through Dynamical Systems JMLR 2024
ptwt - The PyTorch Wavelet Toolbox JMLR 2024
An Empirical Investigation Into Benchmarking Model Multiplicity for Trustworthy Machine Learning: A Case Study on Image Classification WACV 2024
Near-Interpolators: Rapid Norm Growth and the Trade-Off between Interpolation and Generalization AISTATS 2024
SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification AISTATS 2024
Identifiability of Product of Experts Models AISTATS 2024
Spectral Analysis of the Neural Tangent Kernel for Deep Residual Networks JMLR 2024
Split Conformal Prediction and Non-Exchangeable Data JMLR 2024
Universal In-Context Approximation By Prompting Fully Recurrent Models NIPS 2024
Generalization Bounds of Nonconvex-(Strongly)-Concave Stochastic Minimax Optimization AISTATS 2024
From Activation to Initialization: Scaling Insights for Optimizing Neural Fields CVPR 2024
Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms NIPS 2024