Learning Theory

Koala: An Index for Quantifying Overlaps with Pre-training Corpora EMNLP 2023 Last Switch Dependent Bandits with Monotone Payoff Functions ICML 2023 Latent Positional Information is in the Self-Attention Variance of Transformer Language Models Without Positional Embeddings ACL 2023 Learnability and Algorithm for Continual Learning ICML 2023 Learned Index with Dynamic ε ICLR 2023 Learning Adversarial Linear Mixture Markov Decision Processes with Bandit Feedback and Unknown Transition ICLR 2023 Learning and Collusion in Multi-unit Auctions NeurIPS 2023 Learning and Testing Latent-Tree Ising Models Efficiently COLT 2023 Learning a Neuron by a Shallow ReLU Network: Dynamics and Implicit Bias for Correlated Inputs NeurIPS 2023 Learning Curves for Deep Structured Gaussian Feature Models NeurIPS 2023 Learning Curves for Noisy Heterogeneous Feature-Subsampled Ridge Ensembles NeurIPS 2023 Learning Distributions over Quantum Measurement Outcomes ICML 2023 Learning good interventions in causal graphs via covering UAI 2023 Learning Hidden Markov Models Using Conditional Samples COLT 2023 Learning in online MDPs: is there a price for handling the communicating case? UAI 2023 Learning k-qubit Quantum Operators via Pauli Decomposition AISTATS 2023 Learning Narrow One-Hidden-Layer ReLU Networks COLT 2023 Learning Provably Robust Estimators for Inverse Problems via Jittering NeurIPS 2023 Learning Proximal Operators to Discover Multiple Optima ICLR 2023 Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation ICML 2023 Learning ReLU networks to high uniform accuracy is intractable ICLR 2023 Learning the Positions in CountSketch ICLR 2023 Learning threshold neurons via edge of stability NeurIPS 2023 Learning to Augment Distributions for Out-of-distribution Detection NeurIPS 2023 Learning to Bid in Repeated First-Price Auctions with Budgets ICML 2023