lower bound

One Shot Inverse Reinforcement Learning for Stochastic Linear Bandits UAI 2024 On the Growth of Mistakes in Differentially Private Online Learning: A Lower Bound Perspective COLT 2024 On the Hardness of Online Nonconvex Optimization with Single Oracle Feedback ICLR 2024 On the Minimax Regret for Contextual Linear Bandits and Multi-Armed Bandits with Expert Advice NeurIPS 2024 On the Role of General Function Approximation in Offline Reinforcement Learning ICLR 2024 Public-data Assisted Private Stochastic Optimization: Power and Limitations NeurIPS 2024 Quantum Algorithms and Lower Bounds for Finite-Sum Optimization ICML 2024 Sample-Efficiency in Multi-Batch Reinforcement Learning: The Need for Dimension-Dependent Adaptivity ICLR 2024 Smooth Lower Bounds for Differentially Private Algorithms via Padding-and-Permuting Fingerprinting Codes COLT 2024 Statistical-Computational Trade-offs for Density Estimation NeurIPS 2024 Statistical Query Lower Bounds for Learning Truncated Gaussians COLT 2024 The Best Arm Evades: Near-optimal Multi-pass Streaming Lower Bounds for Pure Exploration in Multi-armed Bandits COLT 2024 The Limits and Potentials of Local SGD for Distributed Heterogeneous Learning with Intermittent Communication COLT 2024 The Price of Adaptivity in Stochastic Convex Optimization COLT 2024 The role of randomness in quantum state certification with unentangled measurements COLT 2024 The Space Complexity of Approximating Logistic Loss NeurIPS 2024 Tight Bounds for Learning RUMs from Small Slates NeurIPS 2024 Towards Establishing Guaranteed Error for Learned Database Operations ICLR 2024 Universal Lower Bounds and Optimal Rates: Achieving Minimax Clustering Error in Sub-Exponential Mixture Models COLT 2024 Variational Resampling AISTATS 2024 A Law of Robustness beyond Isoperimetry ICML 2023 A Lower Bound for Linear and Kernel Regression with Adaptive Covariates COLT 2023 A Nearly Tight Bound for Fitting an Ellipsoid to Gaussian Random Points COLT 2023 An Exact Algorithm for the Minimum Dominating Set Problem IJCAI 2023 Can semi-supervised learning use all the data effectively? A lower bound perspective NeurIPS 2023