Theory
5,579 papers
Papers per year
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2000
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Papers
Improved Algorithms for Agnostic Pool-based Active Classification
ICML 2021
Improved Algorithms for Allen's Interval Algebra: a Dynamic Programming Approach
IJCAI 2021
Improved Guarantees and a Multiple-descent Curve for Column Subset Selection and the Nystrom Method (Extended Abstract)
IJCAI 2021
Improved Learning Rates of a Functional Lasso-type SVM with Sparse Multi-Kernel Representation
NeurIPS 2021
Improved OOD Generalization via Adversarial Training and Pretraing
ICML 2021
Incorporating Unlabeled Data into Distributionally Robust Learning
JMLR 2021
Inference of causal effects when control variables are unknown
UAI 2021
Influence Functions in Deep Learning Are Fragile
ICLR 2021
Influence Patterns for Explaining Information Flow in BERT
NeurIPS 2021
Information-theoretic generalization bounds for black-box learning algorithms
NeurIPS 2021
Information-Theoretic Methods in Deep Neural Networks: Recent Advances and Emerging Opportunities
IJCAI 2021
Insights on Neural Representations for End-to-End Speech Recognition
Interspeech 2021
Instance-Dependent Bounds for Zeroth-order Lipschitz Optimization with Error Certificates
NeurIPS 2021
Instance Specific Approximations for Submodular Maximization
ICML 2021
Interpretable Random Forests via Rule Extraction
AISTATS 2021
Interpretable Stability Bounds for Spectral Graph Filters
ICML 2021
Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks
AAAI 2021
Inverse Reinforcement Learning in a Continuous State Space with Formal Guarantees
NeurIPS 2021
It was “all” for “nothing”: sharp phase transitions for noiseless discrete channels
COLT 2021
Johnson-Lindenstrauss Transforms with Best Confidence
COLT 2021
Kernel-Based Reinforcement Learning: A Finite-Time Analysis
ICML 2021
Knowledge Distillation as Semiparametric Inference
ICLR 2021
Know your limits: Uncertainty estimation with ReLU classifiers fails at reliable OOD detection
UAI 2021
Large Image Datasets: A Pyrrhic Win for Computer Vision?
WACV 2021
Large-width functional asymptotics for deep Gaussian neural networks
ICLR 2021