Theory
5,579 papers
Papers per year
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2000
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Papers
An Experimental Comparison of Multiwinner Voting Rules on Approval Elections
IJCAI 2023
An Explainable Forecasting System for Humanitarian Needs Assessment
AAAI 2023
An Exploration of Left-Corner Transformations
EMNLP 2023
An extension of disentanglement metrics and its application to voice
Interspeech 2023
An Operator Theoretic Approach for Analyzing Sequence Neural Networks
AAAI 2023
A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective
NeurIPS 2023
Anti-Symmetric DGN: a stable architecture for Deep Graph Networks
ICLR 2023
Anytime-Competitive Reinforcement Learning with Policy Prior
NeurIPS 2023
A Parameterized Theory of PAC Learning
AAAI 2023
A Permutation-Free Kernel Independence Test
JMLR 2023
Approximate Heavy Tails in Offline (Multi-Pass) Stochastic Gradient Descent
NeurIPS 2023
Approximate Regions of Attraction in Learning with Decision-Dependent Distributions
AISTATS 2023
Approximating Full Conformal Prediction at Scale via Influence Functions
AAAI 2023
Approximation and non-parametric estimation of functions over high-dimensional spheres via deep ReLU networks
ICLR 2023
Approximation Bounds for Hierarchical Clustering: Average Linkage, Bisecting K-means, and Local Search
JMLR 2023
A Proof That Using Crossover Can Guarantee Exponential Speed-Ups in Evolutionary Multi-Objective Optimisation
AAAI 2023
A Provable Framework of Learning Graph Embeddings via Summarization
AAAI 2023
A Randomized Approach to Tight Privacy Accounting
NeurIPS 2023
Are Emergent Abilities of Large Language Models a Mirage?
NeurIPS 2023
Are Gaussian Data All You Need? The Extents and Limits of Universality in High-Dimensional Generalized Linear Estimation
ICML 2023
Are Neurons Actually Collapsed? On the Fine-Grained Structure in Neural Representations
ICML 2023
Are Transformers Effective for Time Series Forecasting?
AAAI 2023
A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods
NeurIPS 2023
A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm
NeurIPS 2023
A Spectral Theory of Neural Prediction and Alignment
NeurIPS 2023