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← Optimization & Theory
Machine Learning
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Optimization & Theory
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Theory
4,950 papers
Papers per year
2000: 1
2001: 2
2002: 3
2003: 3
2004: 9
2005: 4
2006: 32
2007: 25
2008: 31
2009: 25
2010: 37
2011: 37
2012: 45
2013: 76
2014: 66
2015: 72
2016: 102
2017: 156
2018: 246
2019: 353
2020: 447
2021: 567
2022: 646
2023: 741
2024: 670
2025: 426
2026: 128
Papers
Optimization or Architecture: How to Hack Kalman Filtering
NIPS 2023
UHDNeRF: Ultra-High-Definition Neural Radiance Fields
ICCV 2023
Generalization on the Unseen, Logic Reasoning and Degree Curriculum
ICML 2023
Implications of Annotation Artifacts in Edge Probing Test Datasets
EMNLP 2023
Tangent Sampson Error: Fast Approximate Two-view Reprojection Error for Central Camera Models
ICCV 2023
Learning on Manifolds: Universal Approximations Properties using Geometric Controllability Conditions for Neural ODEs
L4DC 2023
Vote’n’Rank: Revision of Benchmarking with Social Choice Theory
EACL 2023
The Power of Recursion in Graph Neural Networks for Counting Substructures
AISTATS 2023
Probabilistic Temporal Logic for Reasoning about Bounded Policies
IJCAI 2023
The Ideal Continual Learner: An Agent That Never Forgets
ICML 2023
Mitigating Transformer Overconfidence via Lipschitz Regularization
UAI 2023
Fast Online Changepoint Detection via Functional Pruning CUSUM Statistics
JMLR 2023
Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis
AAAI 2023
Why We Should Report the Details in Subjective Evaluation of TTS More Rigorously
INTERSPEECH 2023
Large data limit of the MBO scheme for data clustering: convergence of the dynamics
JMLR 2023
The Benefits of Mixup for Feature Learning
ICML 2023
A Parameterized Theory of PAC Learning
AAAI 2023
Towards Understanding Generalization of Macro-AUC in Multi-label Learning
ICML 2023
Evaluating Temporal Observation-Based Causal Discovery Techniques Applied to Road Driver Behaviour
CLEAR 2023
Unveiling the Latent Space Geometry of Push-Forward Generative Models
ICML 2023
Experimental Designs for Heteroskedastic Variance
NIPS 2023
Sample based Explanations via Generalized Representers
NIPS 2023
The Elephant in the Room: Analyzing the Presence of Big Tech in Natural Language Processing Research
ACL 2023
Interpretable differencing of machine learning models
UAI 2023
On the Relationship Between Relevance and Conflict in Online Social Link Recommendations
NIPS 2023
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