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Learning Theory

5312 directly classified papers

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Papers

Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms NIPS 2024
Minimax Excess Risk of First-Order Methods for Statistical Learning with Data-Dependent Oracles AISTATS 2024
NeuralSolver: Learning Algorithms For Consistent and Efficient Extrapolation Across General Tasks NIPS 2024
Functional Directed Acyclic Graphs JMLR 2024
On the Learnability of Out-of-distribution Detection JMLR 2024
The sample complexity of ERMs in stochastic convex optimization AISTATS 2024
Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation CVPR 2024
Can Biases in ImageNet Models Explain Generalization? CVPR 2024
ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object CVPR 2024
Unbiased Faster R-CNN for Single-source Domain Generalized Object Detection CVPR 2024
On the Scalability of Diffusion-based Text-to-Image Generation CVPR 2024
Non-vacuous Generalization Bounds for Adversarial Risk in Stochastic Neural Networks AISTATS 2024
The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes CVPR 2024
Self-Compatibility: Evaluating Causal Discovery without Ground Truth AISTATS 2024
DE-HNN: An effective neural model for Circuit Netlist representation AISTATS 2024
Optimal Learning Policies for Differential Privacy in Multi-armed Bandits JMLR 2024
Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for Online Convex Optimization JMLR 2024
Fast Dynamic Sampling for Determinantal Point Processes AISTATS 2024
Depthwise Hyperparameter Transfer in Residual Networks: Dynamics and Scaling Limit ICLR 2024
Near-Interpolators: Rapid Norm Growth and the Trade-Off between Interpolation and Generalization AISTATS 2024
Near-Optimal Pure Exploration in Matrix Games: A Generalization of Stochastic Bandits & Dueling Bandits AISTATS 2024
PrIsing: Privacy-Preserving Peer Effect Estimation via Ising Model AISTATS 2024
Large Language Models Are Not Strong Abstract Reasoners IJCAI 2024
On the In-context Generation of Language Models EMNLP 2024
Can Transformers Learn n-gram Language Models? EMNLP 2024