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Theory

4950 directly classified papers

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Papers

Learning Small Decision Trees for Data of Low Rank-Width AAAI 2024
Identifying Causal Effects using Instrumental Time Series: Nuisance IV and Correcting for the Past JMLR 2024
Split Conformal Prediction and Non-Exchangeable Data JMLR 2024
Universal In-Context Approximation By Prompting Fully Recurrent Models NIPS 2024
A Rainbow in Deep Network Black Boxes JMLR 2024
Sample Efficient Reinforcement Learning with Partial Dynamics Knowledge AAAI 2024
Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms NIPS 2024
On the Intrinsic Structures of Spiking Neural Networks JMLR 2024
Navigable Graphs for High-Dimensional Nearest Neighbor Search: Constructions and Limits NIPS 2024
Taming the Sigmoid Bottleneck: Provably Argmaxable Sparse Multi-Label Classification AAAI 2024
Identifying Causal Effects Under Functional Dependencies NIPS 2024
ptwt - The PyTorch Wavelet Toolbox JMLR 2024
Causal Strategic Learning with Competitive Selection AAAI 2024
Interventional Causal Discovery in a Mixture of DAGs NIPS 2024
An Empirical Investigation Into Benchmarking Model Multiplicity for Trustworthy Machine Learning: A Case Study on Image Classification WACV 2024
Identifiability Analysis of Linear ODE Systems with Hidden Confounders NIPS 2024
Bagging Provides Assumption-free Stability JMLR 2024
Training Integrable Parameterizations of Deep Neural Networks in the Infinite-Width Limit JMLR 2024
Improving the Worst-Case Bidirectional Communication Complexity for Nonconvex Distributed Optimization under Function Similarity NIPS 2024
Convergence of Message-Passing Graph Neural Networks with Generic Aggregation on Large Random Graphs JMLR 2024
Flexible mapping of abstract domains by grid cells via self-supervised extraction and projection of generalized velocity signals NIPS 2024
Computing Nash Equilibria in Potential Games with Private Uncoupled Constraints AAAI 2024
Neural Networks with Sparse Activation Induced by Large Bias: Tighter Analysis with Bias-Generalized NTK JMLR 2024
The Loss Landscape of Deep Linear Neural Networks: a Second-order Analysis JMLR 2024
Large Stepsize Gradient Descent for Non-Homogeneous Two-Layer Networks: Margin Improvement and Fast Optimization NIPS 2024