lower bound

A constrained risk inequality for general losses AISTATS 2021 An Exponential Lower Bound for Linearly Realizable MDP with Constant Suboptimality Gap NeurIPS 2021 Approximate optimization of convex functions with outlier noise NeurIPS 2021 Average-Case Communication Complexity of Statistical Problems COLT 2021 Differentially Private Assouad, Fano, and Le Cam ALT 2021 Differentially Private Correlation Clustering ICML 2021 Exponential Lower Bounds for Batch Reinforcement Learning: Batch RL can be Exponentially Harder than Online RL ICML 2021 Exponential Weights Algorithms for Selective Learning COLT 2021 From Local Pseudorandom Generators to Hardness of Learning COLT 2021 Improved Mutual Information Estimation AAAI 2021 Lazy OCO: Online Convex Optimization on a Switching Budget COLT 2021 LB-DESPOT: Efficient Online POMDP Planning Considering Lower Bound in Action Selection (Student Abstract) AAAI 2021 Lower Bounds and Optimal Algorithms for Smooth and Strongly Convex Decentralized Optimization Over Time-Varying Networks NeurIPS 2021 Lower Bounds on Cross-Entropy Loss in the Presence of Test-time Adversaries ICML 2021 Near-Optimal Lower Bounds For Convex Optimization For All Orders of Smoothness NeurIPS 2021 New Bounds For Distributed Mean Estimation and Variance Reduction ICLR 2021 On Lower Bounds for Standard and Robust Gaussian Process Bandit Optimization ICML 2021 On the High Accuracy Limitation of Adaptive Property Estimation AISTATS 2021 On the Minimal Error of Empirical Risk Minimization COLT 2021 The Min-Max Complexity of Distributed Stochastic Convex Optimization with Intermittent Communication COLT 2021 The Optimality of Polynomial Regression for Agnostic Learning under Gaussian Marginals in the SQ Model COLT 2021 Towards Tight Bounds on the Sample Complexity of Average-reward MDPs ICML 2021 Towards Tight Communication Lower Bounds for Distributed Optimisation NeurIPS 2021 Unitary Branching Programs: Learnability and Lower Bounds ICML 2021 An approximate KLD based experimental design for models with intractable likelihoods AISTATS 2020