Learning Theory
6,809 papers
Papers per year
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Papers
Efficient Global Planning in Large MDPs via Stochastic Primal-Dual Optimization
ALT 2023
Efficient Hyper-parameter Optimization with Cubic Regularization
NeurIPS 2023
Efficient List-Decodable Regression using Batches
ICML 2023
Efficiently learning the graph for semi-supervised learning
UAI 2023
Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation
ICML 2023
Efficient RL with Impaired Observability: Learning to Act with Delayed and Missing State Observations
NeurIPS 2023
Efficient Testable Learning of Halfspaces with Adversarial Label Noise
NeurIPS 2023
Empirical Bayes via ERM and Rademacher complexities: the Poisson model
COLT 2023
Energy-Efficient Scheduling with Predictions
NeurIPS 2023
Entropic characterization of optimal rates for learning Gaussian mixtures
COLT 2023
Environment-Invariant Curriculum Relation Learning for Fine-Grained Scene Graph Generation
ICCV 2023
Equivariant Polynomials for Graph Neural Networks
ICML 2023
Error Bounds for Learning with Vector-Valued Random Features
NeurIPS 2023
Error in the Euclidean Preference Model
IJCAI 2023
ESCHER: Eschewing Importance Sampling in Games by Computing a History Value Function to Estimate Regret
ICLR 2023
Estimating Causal Effects Identifiable from a Combination of Observations and Experiments
NeurIPS 2023
Estimating Possible Causal Effects with Latent Variables via Adjustment
ICML 2023
Evaluating Transformer’s Ability to Learn Mildly Context-Sensitive Languages
EMNLP 2023
Exact Count of Boundary Pieces of ReLU Classifiers: Towards the Proper Complexity Measure for Classification
UAI 2023
Excess Risk of Two-Layer ReLU Neural Networks in Teacher-Student Settings and its Superiority to Kernel Methods
ICLR 2023
Experiment Planning with Function Approximation
NeurIPS 2023
Expertise Trees Resolve Knowledge Limitations in Collective Decision-Making
ICML 2023
Explaining Adversarial Robustness of Neural Networks from Clustering Effect Perspective
ICCV 2023
Exploration in Linear Bandits with Rich Action Sets and its Implications for Inference
AISTATS 2023
Exploration in Reward Machines with Low Regret
AISTATS 2023