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Theory

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Papers

On Combining Bags to Better Learn from Label Proportions AISTATS 2022
Performative Prediction in a Stateful World AISTATS 2022
The Tree Loss: Improving Generalization with Many Classes AISTATS 2022
Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits AISTATS 2022
Are All Linear Regions Created Equal? AISTATS 2022
Entrywise Recovery Guarantees for Sparse PCA via Sparsistent Algorithms AISTATS 2022
Near Instance Optimal Model Selection for Pure Exploration Linear Bandits AISTATS 2022
Identification in Tree-shaped Linear Structural Causal Models AISTATS 2022
Pareto Optimal Model Selection in Linear Bandits AISTATS 2022
A Dimensionality Reduction Method for Finding Least Favorable Priors with a Focus on Bregman Divergence AISTATS 2022
Regret, stability & fairness in matching markets with bandit learners AISTATS 2022
Expressivity of Neural Networks via Chaotic Itineraries beyond Sharkovsky’s Theorem AISTATS 2022
Sample Complexity of Robust Reinforcement Learning with a Generative Model AISTATS 2022
A cautionary tale on fitting decision trees to data from additive models: generalization lower bounds AISTATS 2022
Provable Adversarial Robustness for Fractional Lp Threat Models AISTATS 2022
Solving Marginal MAP Exactly by Probabilistic Circuit Transformations AISTATS 2022
Sobolev Norm Learning Rates for Conditional Mean Embeddings AISTATS 2022
Generalized Group Testing AISTATS 2022
Quadric Hypersurface Intersection for Manifold Learning in Feature Space AISTATS 2022
A Manifold View of Adversarial Risk AISTATS 2022
Statistical and computational thresholds for the planted k-densest sub-hypergraph problem AISTATS 2022
Diversity and Generalization in Neural Network Ensembles AISTATS 2022
Refined Lower Bounds for Nearest Neighbor Condensation ALT 2022
Multicalibrated Partitions for Importance Weights ALT 2022
Local Constraint-Based Causal Discovery under Selection Bias CLEAR 2022