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Theory

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Papers

Quantized Fourier and Polynomial Features for more Expressive Tensor Network Models AISTATS 2024
On the Expected Size of Conformal Prediction Sets AISTATS 2024
Analysis of Using Sigmoid Loss for Contrastive Learning AISTATS 2024
On The Temporal Domain of Differential Equation Inspired Graph Neural Networks AISTATS 2024
Learning Extensive-Form Perfect Equilibria in Two-Player Zero-Sum Sequential Games AISTATS 2024
On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers AISTATS 2024
Analysis of Kernel Mirror Prox for Measure Optimization AISTATS 2024
BlockBoost: Scalable and Efficient Blocking through Boosting AISTATS 2024
Any-dimensional equivariant neural networks AISTATS 2024
Adaptive and non-adaptive minimax rates for weighted Laplacian-Eigenmap based nonparametric regression AISTATS 2024
Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods AISTATS 2024
SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification AISTATS 2024
Length independent PAC-Bayes bounds for Simple RNNs AISTATS 2024
Equivalence Testing: The Power of Bounded Adaptivity AISTATS 2024
On the Impact of Overparameterization on the Training of a Shallow Neural Network in High Dimensions AISTATS 2024
Horizon-Free and Instance-Dependent Regret Bounds for Reinforcement Learning with General Function Approximation AISTATS 2024
On the Effect of Key Factors in Spurious Correlation: A theoretical Perspective AISTATS 2024
On the Misspecification of Linear Assumptions in Synthetic Controls AISTATS 2024
Proving Linear Mode Connectivity of Neural Networks via Optimal Transport AISTATS 2024
On the (In)feasibility of ML Backdoor Detection as an Hypothesis Testing Problem AISTATS 2024
Anytime-Constrained Reinforcement Learning AISTATS 2024
Near-Interpolators: Rapid Norm Growth and the Trade-Off between Interpolation and Generalization AISTATS 2024
Identifiability of Product of Experts Models AISTATS 2024
Faster Recalibration of an Online Predictor via Approachability AISTATS 2024
Consistent Hierarchical Classification with A Generalized Metric AISTATS 2024