Co-occurring keywords · papers mentioning both
Papers
Nearly tight sample complexity bounds for learning mixtures of Gaussians via sample compression schemes
NeurIPS 2018
Near-Optimal Sample Complexity Bounds for Maximum Likelihood Estimation of Multivariate Log-concave Densities
COLT 2018
Near-Optimal Time and Sample Complexities for Solving Markov Decision Processes with a Generative Model
NeurIPS 2018
Open Problem: The Dependence of Sample Complexity Lower Bounds on Planning Horizon
COLT 2018
Optimal Quantum Sample Complexity of Learning Algorithms
JMLR 2018
Optimistic optimization of a Brownian
NeurIPS 2018
PAC-learning in the presence of adversaries
NeurIPS 2018
Probability–Revealing Samples
AISTATS 2018
Provably Correct Algorithms for Matrix Column Subset Selection with Selectively Sampled Data
JMLR 2018
Pure Exploration in Infinitely-Armed Bandit Models with Fixed-Confidence
ALT 2018
Q-learning with Nearest Neighbors
NeurIPS 2018
Quantifying Learning Guarantees for Convex but Inconsistent Surrogates
NeurIPS 2018
Sample Efficient Stochastic Gradient Iterative Hard Thresholding Method for Stochastic Sparse Linear Regression with Limited Attribute Observation
NeurIPS 2018
SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation
ICML 2018
Sharp Bounds for Generalized Uniformity Testing
NeurIPS 2018
Size-Independent Sample Complexity of Neural Networks
COLT 2018
Smooth Sensitivity Based Approach for Differentially Private PCA
ALT 2018
State Abstractions for Lifelong Reinforcement Learning
ICML 2018
Testing for Families of Distributions via the Fourier Transform
NeurIPS 2018
The Everlasting Database: Statistical Validity at a Fair Price
NeurIPS 2018
The Generalization Error of Dictionary Learning with Moreau Envelopes
ICML 2018
The Sample Complexity of Semi-Supervised Learning with Nonparametric Mixture Models
NeurIPS 2018
Tight Bounds for Collaborative PAC Learning via Multiplicative Weights
NeurIPS 2018
Towards Black-box Iterative Machine Teaching
ICML 2018
Towards Provable Learning of Polynomial Neural Networks Using Low-Rank Matrix Estimation
AISTATS 2018