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Learning Theory

5,312 papers

Papers per year

Papers

When Is Partially Observable Reinforcement Learning Not Scary? COLT 2022
Stochastic linear optimization never overfits with quadratically-bounded losses on general data COLT 2022
High-Dimensional Projection Pursuit: Outer Bounds and Applications to Interpolation in Neural Networks COLT 2022
Memorize to generalize: on the necessity of interpolation in high dimensional linear regression COLT 2022
Open Problem: Properly learning decision trees in polynomial time? COLT 2022
Open Problem: Regret Bounds for Noise-Free Kernel-Based Bandits COLT 2022
Open Problem: Do you pay for Privacy in Online learning? COLT 2022
Open Problem: Finite-Time Instance Dependent Optimality for Stochastic Online Learning with Feedback Graphs COLT 2022
Open Problem: Optimal Best Arm Identification with Fixed-Budget COLT 2022
Exploiting Explainable Metrics for Augmented SGD CVPR 2022
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions With Superior OOD Generalization CVPR 2022
The Two Dimensions of Worst-Case Training and Their Integrated Effect for Out-of-Domain Generalization CVPR 2022
FedDC: Federated Learning With Non-IID Data via Local Drift Decoupling and Correction CVPR 2022
Out-of-Distribution Generalization With Causal Invariant Transformations CVPR 2022
Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning CVPR 2022
Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent From the Decision Boundary Perspective CVPR 2022
Causal Transportability for Visual Recognition CVPR 2022
Demystifying the Neural Tangent Kernel From a Practical Perspective: Can It Be Trusted for Neural Architecture Search Without Training? CVPR 2022
How Much More Data Do I Need? Estimating Requirements for Downstream Tasks CVPR 2022
Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search CVPR 2022
When Can Transformers Ground and Compose: Insights from Compositional Generalization Benchmarks EMNLP 2022
A Comprehensive Comparison of Neural Networks as Cognitive Models of Inflection EMNLP 2022
Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations EMNLP 2022
Unobserved Local Structures Make Compositional Generalization Hard EMNLP 2022
Exploring the Secrets Behind the Learning Difficulty of Meaning Representations for Semantic Parsing EMNLP 2022