Pages that link to "Item:Q2519678"
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The following pages link to Concentration inequalities for dependent random variables via the martingale method (Q2519678):
Displaying 37 items.
- An explicit bound on the transportation cost distance (Q380692) (← links)
- Generalization bounds of ERM algorithm with Markov chain samples (Q403479) (← links)
- Deviation inequalities for separately Lipschitz functionals of iterated random functions (Q468728) (← links)
- Transportation inequalities for hidden Markov chains and applications (Q544858) (← links)
- Generalization performance of least-square regularized regression algorithm with Markov chain samples (Q662073) (← links)
- Statistical estimation with bounded memory (Q693352) (← links)
- Constructing processes with prescribed mixing coefficients (Q956363) (← links)
- Simpler PAC-Bayesian bounds for hostile data (Q1640576) (← links)
- Hoeffding's inequality for sums of dependent random variables (Q1693395) (← links)
- Learning bounds of ERM principle for sequences of time-dependent samples (Q1723532) (← links)
- Concentration inequalities for polynomials of contracting Ising models (Q1990045) (← links)
- On limit theorems for persistent Betti numbers from dependent data (Q2048133) (← links)
- When Janson meets McDiarmid: Bounded difference inequalities under graph-dependence (Q2070641) (← links)
- Quenched invariance principle for random walks on dynamically averaging random conductances (Q2078233) (← links)
- Concentration inequalities for non-causal random fields (Q2136658) (← links)
- Concentration and consistency results for canonical and curved exponential-family models of random graphs (Q2176626) (← links)
- Exponential inequalities for nonstationary Markov chains (Q2178936) (← links)
- Statistical estimation of ergodic Markov chain kernel over discrete state space (Q2214258) (← links)
- Consistent structure estimation of exponential-family random graph models with block structure (Q2295031) (← links)
- Concentration of weakly dependent Banach-valued sums and applications to statistical learning methods (Q2325378) (← links)
- Concentration of measure without independence: a unified approach via the martingale method (Q2406342) (← links)
- Nonasymptotic bounds on the estimation error of MCMC algorithms (Q2435233) (← links)
- Exponential concentration inequalities for additive functionals of Markov chains (Q2786488) (← links)
- Signal Recovery and System Calibration from Multiple Compressive Poisson Measurements (Q3454477) (← links)
- (Q4558573) (← links)
- On Kolmogorov’s converse inequality for dependent random variables (Q5005985) (← links)
- Learning Markov Models Via Low-Rank Optimization (Q5106374) (← links)
- (Q5159407) (← links)
- Uniform Chernoff and Dvoretzky-Kiefer-Wolfowitz-type inequalities for Markov chains and related processes (Q5176523) (← links)
- Optimal Stopping of McKean--Vlasov Diffusions via Regression on Particle Systems (Q5217945) (← links)
- Concentration inequalities for semi-bounded martingales (Q5429620) (← links)
- Randomized maximum-contrast selection: subagging for large-scale regression (Q5965320) (← links)
- Q-learning in regularized mean-field games (Q6159509) (← links)
- Improving Hoeffding's inequality using higher moments information (Q6178683) (← links)
- Gaussian concentration bounds for stochastic chains of unbounded memory (Q6187463) (← links)
- Concentration inequality of sums of dependent subexponential random variables and application to bounds for value-at-risk (Q6549183) (← links)
- Analysis of two-component Gibbs samplers using the theory of two projections (Q6620069) (← links)
