Co-occurring keywords · papers mentioning both
Papers
Locally Private Gaussian Estimation
NeurIPS 2019
Locally Private Learning without Interaction Requires Separation
NeurIPS 2019
Lower Bounds for Locally Private Estimation via Communication Complexity
COLT 2019
Lower Bounds for Parallel and Randomized Convex Optimization
COLT 2019
Lower Bounds for Smooth Nonconvex Finite-Sum Optimization
ICML 2019
Margin-Based Generalization Lower Bounds for Boosted Classifiers
NeurIPS 2019
On Sample Complexity Upper and Lower Bounds for Exact Ranking from Noisy Comparisons
NeurIPS 2019
Order Optimal One-Shot Distributed Learning
NeurIPS 2019
Private Center Points and Learning of Halfspaces
COLT 2019
Recurrent models and lower bounds for projective syntactic decoding
NAACL 2019
Tight Dimension Independent Lower Bound on the Expected Convergence Rate for Diminishing Step Sizes in SGD
NeurIPS 2019
Tight Kernel Query Complexity of Kernel Ridge Regression and Kernel k-means Clustering
ICML 2019
Graph Oracle Models, Lower Bounds, and Gaps for Parallel Stochastic Optimization
NeurIPS 2018
Open Problem: The Dependence of Sample Complexity Lower Bounds on Planning Horizon
COLT 2018
Optimal Solution of the Generalized Dubins Interval Problem
RSS 2018
Partial Optimality and Fast Lower Bounds for Weighted Correlation Clustering
ICML 2018
Stochastic Anytime Search for Bounding Marginal MAP
IJCAI 2018
Time-Space Tradeoffs for Learning Finite Functions from Random Evaluations, with Applications to Polynomials
COLT 2018
Inapproximability of VC Dimension and Littlestone’s Dimension
COLT 2017
Online Learning Without Prior Information
COLT 2017
On the Complexity of Learning Neural Networks
NeurIPS 2017
The Price of Selection in Differential Privacy
COLT 2017
The Sample Complexity of Optimizing a Convex Function
COLT 2017
The Simulator: Understanding Adaptive Sampling in the Moderate-Confidence Regime
COLT 2017
Towards Lower Bounds on Number of Dimensions for Word Embeddings
IJCNLP 2017