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Exploring Starts Are Not Enough: Counterexamples and a Fix for Monte Carlo Exploring Starts
Arxiv
0+阅读 · 6月13日
Typed Component Algebras for Simulated Annealing and Markov-Chain Monte Carlo
Arxiv
0+阅读 · 6月14日
Score-Based Martingale Posteriors for Deep Neural Networks
Arxiv
0+阅读 · 6月14日
Stop the Sampler! Classifier-Based Adaptive Stopping for Sampling Kernels
Arxiv
0+阅读 · 6月15日
Amortized mean-shift interacting particles
Arxiv
0+阅读 · 6月14日
Quantum Subgradient Estimation for Conditional Value-at-Risk Optimization
Arxiv
0+阅读 · 5月15日
Delayed Acceptance Markov Chain Monte Carlo for Robust Bayesian Analysis
Arxiv
0+阅读 · 6月2日
Quantifying Perception-Based Student Success with Generative AI: An Exploratory Monte Carlo Simulation
Arxiv
0+阅读 · 6月9日
Score-Repellent Monte Carlo: Toward Efficient Non-Markovian Sampler with Constant Memory in General State Spaces
Arxiv
0+阅读 · 5月22日
Sample correlation adjustments for robust Multi-fidelity Monte Carlo under limited pilot sampling
Arxiv
0+阅读 · 5月21日
Bayesian Inference of Nonlinear Malaria Dynamics in Ghana via an Ensemble Markov Chain Monte Carlo Sampler
Arxiv
0+阅读 · 5月30日
Causal Object-Centric Models for Planning with Monte Carlo Tree Search
Arxiv
0+阅读 · 6月12日
Intrinsic effective sample size for manifold-valued Markov chain Monte Carlo via kernel discrepancy
Arxiv
0+阅读 · 5月5日
Analysis of kinetic Langevin Monte Carlo under the stochastic exponential Euler discretization from underdamped all the way to overdamped
Arxiv
0+阅读 · 5月7日
Faster Hamiltonian Monte Carlo by Learning Leapfrog Scale: a self-calibrated randomized solution
Arxiv
0+阅读 · 5月22日
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