conftrace_
← Optimization & Theory
Machine Learning › Optimization & Theory ›

Theory

4,955 papers

Papers per year

1
4
37
72
447
426
'00
'05
'10
'15
'20
'25

Papers

V-statistics and Variance Estimation JMLR 2021
Training deep residual networks for uniform approximation guarantees L4DC 2021
Learning Finite-Dimensional Representations For Koopman Operators L4DC 2021
CheXbreak: Misclassification Identification for Deep Learning Models Interpreting Chest X-rays MLHC 2021
Power Constrained Bandits MLHC 2021
A Non-Linear Structural Probe NAACL 2021
Why Do Document-Level Polarity Classifiers Fail? NAACL 2021
Outside Computation with Superior Functions NAACL 2021
Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation NAACL 2021
Finding Concept-specific Biases in Form–Meaning Associations NAACL 2021
An Empirical Study on Neural Keyphrase Generation NAACL 2021
Too Much in Common: Shifting of Embeddings in Transformer Language Models and its Implications NAACL 2021
Grounding Plural Phrases: Countering Evaluation Biases by Individuation NAACL 2021
Dependency Locality and Neural Surprisal as Predictors of Processing Difficulty: Evidence from Reading Times NAACL 2021
Graph-theoretic Properties of the Class of Phonological Neighbourhood Networks NAACL 2021
On the distributional properties of adaptive gradients UAI 2021
The complexity of nonconvex-strongly-concave minimax optimization UAI 2021
Distribution-free uncertainty quantification for classification under label shift UAI 2021
On random kernels of residual architectures UAI 2021
Compositional abstraction error and a category of causal models UAI 2021
Stochastic model for sunk cost bias UAI 2021
Inference of causal effects when control variables are unknown UAI 2021
An optimization and generalization analysis for max-pooling networks UAI 2021
Statistically robust neural network classification UAI 2021
Know your limits: Uncertainty estimation with ReLU classifiers fails at reliable OOD detection UAI 2021