Co-occurring keywords · papers mentioning both
Papers
A Guide to Learning Arithmetic Circuits
COLT 2016
Algorithms and matching lower bounds for approximately-convex optimization
NeurIPS 2016
Dimension-Free Iteration Complexity of Finite Sum Optimization Problems
NeurIPS 2016
Local Minimax Complexity of Stochastic Convex Optimization
NeurIPS 2016
Minimax Estimation of Maximum Mean Discrepancy with Radial Kernels
NeurIPS 2016
Noisy Tensor Completion via the Sum-of-Squares Hierarchy
COLT 2016
On Bayes Risk Lower Bounds
JMLR 2016
On Lower and Upper Bounds in Smooth and Strongly Convex Optimization
JMLR 2016
On the Iteration Complexity of Oblivious First-Order Optimization Algorithms
ICML 2016
Optimal Learning via the Fourier Transform for Sums of Independent Integer Random Variables
COLT 2016
Refined Lower Bounds for Adversarial Bandits
NeurIPS 2016
The Limits of Learning with Missing Data
NeurIPS 2016
Tight (Lower) Bounds for the Fixed Budget Best Arm Identification Bandit Problem
COLT 2016
Variational Information Maximization for Feature Selection
NeurIPS 2016
A Lower Bound for the Optimization of Finite Sums
ICML 2015
Communication Complexity of Distributed Convex Learning and Optimization
NeurIPS 2015
High Confidence Policy Improvement
ICML 2015
Information-theoretic lower bounds for convex optimization with erroneous oracles
NeurIPS 2015
Learning Causal Graphs with Small Interventions
NeurIPS 2015
On Elicitation Complexity
NeurIPS 2015
On the Complexity of Learning with Kernels
COLT 2015
On Top-k Selection in Multi-Armed Bandits and Hidden Bipartite Graphs
NeurIPS 2015
Regularization Path of Cross-Validation Error Lower Bounds
NeurIPS 2015
Sum-of-Squares Lower Bounds for Sparse PCA
NeurIPS 2015
Clamping Variables and Approximate Inference
NeurIPS 2014