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https://jmlr.org/papers/v26/24-0636.html Sample Complexity of the Linear Quadratic Regulator: A Reinforcement Learning Lens linear quadratic regulator sample complexity of the reinforcement learning https://openreview.net/forum?id=kgxO5itnvU Stochastic Policy Gradient Methods: Improved Sample Complexity for Fisher-non-degenerate Policies |... Recently, the impressive empirical success of policy gradient (PG) methods has catalyzed the development of their theoretical foundations. Despite the huge... policy gradient sample complexity https://openreview.net/forum?id=euQ0C4iS7O Leveraging Drift to Improve Sample Complexity of Variance Exploding Diffusion Models | OpenReview Variance exploding (VE) based diffusion models, an important class of diffusion models, have shown state-of-the-art (SOTA) performance. However, only a few... sample complexity https://openreview.net/forum?id=sKjcrAC4eZ Sample Complexity Bounds for Estimating Probability Divergences under Invariances | OpenReview Group-invariant probability distributions appear in many data-generative models in machine learning, such as graphs, point clouds, and images. In practice, one... sample complexity bounds estimating probability divergences invariances https://www.amazon.science/publications/finite-time-convergence-and-sample-complexity-of-actor-critic-multi-objective-reinforcement-learning Finite-time convergence and sample complexity of actor-critic multi-objective reinforcement... Reinforcement learning with multiple, potentially conflicting objectives is pervasive in real-world applications, while this problem remains theoretically... sample complexity https://openreview.net/forum?id=RYPNAOWANk Duality and Sample Complexity for the Gromov-Wasserstein Distance | OpenReview The Gromov-Wasserstein (GW) distance, rooted in optimal transport (OT) theory, quantifies dissimilarity between metric measure spaces and provides a framework... sample complexity for the wasserstein distance duality gromov https://www.datacamp.com/tr/blog/what-is-sample-complexity What is Sample Complexity? | DataCamp Learn about sample complexity in machine learning and how to assess the efficiency of a learning algorithm to determine the data needed for a specific learning... what is sample complexity datacamp https://arxiv.org/abs/1704.02598 [1704.02598] A Sample Complexity Measure with Applications to Learning Optimal Auctions Abstract page for arXiv paper 1704.02598: A Sample Complexity Measure with Applications to Learning Optimal Auctions a sample complexity measure https://www.datacamp.com/ro/blog/what-is-sample-complexity What is Sample Complexity? | DataCamp Learn about sample complexity in machine learning and how to assess the efficiency of a learning algorithm to determine the data needed for a specific learning... what is sample complexity datacamp https://www.datacamp.com/it/blog/what-is-sample-complexity What is Sample Complexity? | DataCamp Learn about sample complexity in machine learning and how to assess the efficiency of a learning algorithm to determine the data needed for a specific learning... what is sample complexity datacamp https://research.google/pubs/nearly-optimal-sample-complexity-for-learning-with-label-proportions/ Nearly Optimal Sample Complexity for Learning with Label Proportions sample complexity for learning nearly optimal label https://openreview.net/forum?id=uNnPWR66b8 Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative Modeling | OpenReview This paper provides statistical sample complexity bounds for score-matching and its applications in causal discovery. We demonstrate that accurate estimation... sample complexity bounds https://www.kth.se/math/kalender/matteo-santacesaria-on-the-sample-complexity-of-inverse-problems-1.1332801?date=2024-05-13&orgdate=2024-02-13&length=1&orglength=323 Matteo Santacesaria: On the sample complexity of inverse problems | KTH on the sample complexity inverse problems matteo kth https://www.datacamp.com/sv/blog/what-is-sample-complexity What is Sample Complexity? | DataCamp Learn about sample complexity in machine learning and how to assess the efficiency of a learning algorithm to determine the data needed for a specific learning... what is sample complexity datacamp https://openreview.net/forum?id=H1xSXdV0i4 Addressing Sample Complexity in Visual Tasks Using Hindsight Experience Replay and Hallucinatory... Reinforcement Learning (RL) algorithms typically require millions of environment interactions to learn successful policies in sparse reward settings. Hindsight... sample complexity https://openreview.net/forum?id=18rzx2PXKm Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement... Reinforcement learning with multiple, potentially conflicting objectives is pervasive in real-world applications, while this problem remains theoretically... sample complexity https://www.datacamp.com/vi/blog/what-is-sample-complexity What is Sample Complexity? | DataCamp Learn about sample complexity in machine learning and how to assess the efficiency of a learning algorithm to determine the data needed for a specific learning... what is sample complexity datacamp https://openreview.net/forum?id=_OPHJ7nkZoC Sample Complexity of Tree Search Configuration: Cutting Planes and Beyond | OpenReview Cutting-plane methods have enabled remarkable successes in integer programming over the last few decades. State-of-the-art solvers integrate a myriad of... sample complexity tree search cutting planes and beyond https://arxiv.org/abs/2002.11519v1 [2002.11519v1] Decidability of Sample Complexity of PAC Learning in finite setting Abstract page for arXiv paper 2002.11519v1: Decidability of Sample Complexity of PAC Learning in finite setting sample complexity pac learning 2002 decidability https://www.datacamp.com/hi/blog/what-is-sample-complexity What is Sample Complexity? | DataCamp Learn about sample complexity in machine learning and how to assess the efficiency of a learning algorithm to determine the data needed for a specific learning... what is sample complexity datacamp https://openreview.net/forum?id=RYQ0KuZvkL&referrer=%5Bthe%20profile%20of%20Lillian%20J.%20Ratliff%5D(%2Fprofile%3Fid%3D~Lillian_J._Ratliff1) Sample Complexity Reduction via Policy Difference Estimation in Tabular Reinforcement Learning |... In this paper, we study the non-asymptotic sample complexity for the pure exploration problem in contextual bandits and tabular reinforcement learning (RL):... sample complexity reduction via policy https://jmlr.org/papers/v14/sabato13a.html Distribution-Dependent Sample Complexity of Large Margin Learning sample complexity distribution dependent large margin https://www.datacamp.com/th/blog/what-is-sample-complexity What is Sample Complexity? | DataCamp Learn about sample complexity in machine learning and how to assess the efficiency of a learning algorithm to determine the data needed for a specific learning... what is sample complexity datacamp https://jmlr.org/papers/v24/22-0881.html Sample Complexity for Distributionally Robust Learning under chi-square divergence sample complexity chi square robust learning divergence https://openreview.net/forum?id=4CWX7Tpbcp&referrer=%5Bthe%20profile%20of%20Michael%20I.%20Jordan%5D(%2Fprofile%3Fid%3D~Michael_I._Jordan2) The Sample Complexity of Online Reinforcement Learning: A Multi-model Perspective | OpenReview We study the sample complexity of online reinforcement learning in the general setting of nonlinear dynamical systems with continuous state and action spaces.... the sample reinforcement learning https://deepai.org/publication/metric-entropy-duality-and-the-sample-complexity-of-outcome-indistinguishability Metric Entropy Duality and the Sample Complexity of Outcome Indistinguishability | DeepAI Mar 9, 2022 - 03/09/22 - We give the first sample complexity characterizations for outcome indistinguishability, a theoretical framework of machine learnin... metric entropy the sample duality https://www.datacamp.com/id/blog/what-is-sample-complexity What is Sample Complexity? | DataCamp Learn about sample complexity in machine learning and how to assess the efficiency of a learning algorithm to determine the data needed for a specific learning... what is sample complexity datacamp https://arxiv.org/abs/2401.00664v1 [2401.00664v1] New Sample Complexity Bounds for (Regularized) Sample Average Approximation in... Abstract page for arXiv paper 2401.00664v1: New Sample Complexity Bounds for (Regularized) Sample Average Approximation in Several Heavy-Tailed,... sample complexity bounds 2401 new https://openreview.net/forum?id=CFdNqqlqOv Improved Sample Complexity Bounds For Diffusion Model Training Without Empirical Risk Minimizer... Diffusion models have demonstrated state-of-the-art performance across vision, language, and scientific domains. Despite their empirical success, prior... sample complexity bounds diffusion model https://openreview.net/forum?id=pcpjtYNJCH Initialization-Dependent Sample Complexity of Linear Predictors and Neural Networks | OpenReview We provide several new results on the sample complexity of vector-valued linear predictors (parameterized by a matrix), and more generally neural networks.... sample complexity neural networks initialization dependent https://www.datacamp.com/nl/blog/what-is-sample-complexity What is Sample Complexity? | DataCamp Learn about sample complexity in machine learning and how to assess the efficiency of a learning algorithm to determine the data needed for a specific learning... what is sample complexity datacamp https://deepai.org/publication/bilevel-optimization-with-a-lower-level-contraction-optimal-sample-complexity-without-warm-start Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-Start |... Feb 7, 2022 - 02/07/22 - We analyze a general class of bilevel problems, in which the upper-level problem consists in the minimization of a smooth objectiv... https://openreview.net/forum?id=FurHLDnmC5v Sample Complexity of Learning Heuristic Functions for Greedy-Best-First and A* Search | OpenReview We present upper and lower bounds on the pseudo-dimension for analyzing the sample complexity of learning heuristic functions of greedy-best-first and A*... https://arxiv.org/abs/1504.00695 [1504.00695] Trading query complexity for sample-based testing and multi-testing scalability Abstract page for arXiv paper 1504.00695: Trading query complexity for sample-based testing and multi-testing scalability query complexity https://research.google/pubs/model-based-rl-with-optimistic-posterior-sampling-structural-conditions-and-sample-complexity/ Model-based RL with Optimistic Posterior Sampling: Structural Conditions and Sample Complexity https://openreview.net/forum?id=CNUPUzQOMG Instance-dependent Sample Complexity for Bilinear Saddle-Point Optimization with Noisy Feedback: An... In this work, we study the sample complexity of obtaining a Nash equilibrium (NE) estimate in two-player zero-sum matrix games with noisy feedback.... https://arxiv.org/abs/2510.01291 [2510.01291] Private Realizable-to-Agnostic Transformation with Near-Optimal Sample Complexity Abstract page for arXiv paper 2510.01291: Private Realizable-to-Agnostic Transformation with Near-Optimal Sample Complexity https://www.jmlr.org/papers/v26/22-0622.html Convergence and Sample Complexity of Natural Policy Gradient Primal-Dual Methods for Constrained... https://openreview.net/forum?id=jpsw-KuOi7r Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs | OpenReview We propose a novel reward free reinforcement learning algorithm under low-rank MDPs, which improves the sample complexity of previous work. We also provide a...