
Convergence and Stability of the Stochastic Proximal Point Algorithm with Momentum
Stochastic gradient descent with momentum (SGDM) is the dominant algorit...
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Robust Inference for HighDimensional Linear Models via Residual Randomization
We propose a residual randomization procedure designed for robust Lasso...
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Randomization Inference of Periodicity in Unequally Spaced Time Series with Application to Exoplanet Detection
The estimation of periodicity is a fundamental task in many scientific a...
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Estimation of Covid19 Prevalence from Serology Tests: A Partial Identification Approach
We propose a partial identification method for estimating disease preval...
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Randomization Tests in Observational Studies with Staggered Adoption of Treatment
This paper studies inference in observational studies with timevarying ...
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A GraphTheoretic Approach to Randomization Tests of Causal Effects Under General Interference
Interference exists when a unit's outcome depends on another unit's trea...
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Life After Bootstrap: Residual Randomization Inference in Regression Models
We develop a randomizationbased method for inference in regression mode...
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Minimax Crossover Designs
In crossover experiments, two broad types of treatment effects are typic...
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Randomization tests for peer effects in group formation experiments
Measuring the effect of peers on individual outcomes is a challenging pr...
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Dynamical systems theory for causal inference with application to synthetic control methods
To estimate treatment effects in panel data, suitable control units need...
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Propensity score methodology in the presence of network entanglement between treatments
In experimental design and causal inference, it may happen that the trea...
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Convergence diagnostics for stochastic gradient descent with constant step size
Iterative procedures in stochastic optimization are typically comprised ...
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Implicit stochastic approximation
The need to carry out parameter estimation from massive data has reinvig...
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Stochastic gradient descent methods for estimation with large data sets
We develop methods for parameter estimation in settings with largescale...
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Towards stability and optimality in stochastic gradient descent
Iterative procedures for parameter estimation based on stochastic gradie...
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Implicit Temporal Differences
In reinforcement learning, the TD(λ) algorithm is a fundamental policy e...
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FaceBots: Steps Towards Enhanced LongTerm HumanRobot Interaction by Utilizing and Publishing Online Social Information
Our project aims at supporting the creation of sustainable and meaningfu...
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Panos Toulis
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