
Communicationefficient SGD: From Local SGD to OneShot Averaging
We consider speeding up stochastic gradient descent (SGD) by parallelizi...
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Online BaumWelch algorithm for Hierarchical Imitation Learning
The options framework for hierarchical reinforcement learning has increa...
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Strongly Adaptive OCO with Memory
Recent progress in online control has popularized online learning with m...
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UncertaintyAware Policy Optimization: A Robust, Adaptive Trust Region Approach
In order for reinforcement learning techniques to be useful in realworl...
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Explainability of Intelligent Transportation Systems using Knowledge Compilation: a Traffic Light Controller Case
Usage of automated controllers which make decisions on an environment ar...
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Robust Grouped Variable Selection Using Distributionally Robust Optimization
We propose a Distributionally Robust Optimization (DRO) formulation with...
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Robustified Multivariate Regression and Classification Using Distributionally Robust Optimization under the Wasserstein Metric
We develop Distributionally Robust Optimization (DRO) formulations for M...
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Local SGD With a Communication Overhead Depending Only on the Number of Workers
We consider speeding up stochastic gradient descent (SGD) by parallelizi...
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Asymptotic Network Independence in Distributed Optimization for Machine Learning
We provide a discussion of several recent results which have overcome a ...
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A NonAsymptotic Analysis of Network Independence for Distributed Stochastic Gradient Descent
This paper is concerned with minimizing the average of n cost functions ...
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Convergence of Parameter Estimates for Regularized Mixed Linear Regression Models
We consider Mixed Linear Regression (MLR), where training data have bee...
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Prescriptive ClusterDependent Support Vector Machines with an Application to Reducing Hospital Readmissions
We augment linear Support Vector Machine (SVM) classifiers by adding thr...
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Clinical Concept Extraction with Contextual Word Embedding
Automatic extraction of clinical concepts is an essential step for turni...
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Predicting Chronic Disease Hospitalizations from Electronic Health Records: An Interpretable Classification Approach
Urban living in modern large cities has significant adverse effects on h...
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Outlier Detection Using Distributionally Robust Optimization under the Wasserstein Metric
We present a Distributionally Robust Optimization (DRO) approach to outl...
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Statistical Anomaly Detection via Composite Hypothesis Testing for Markov Models
Under Markovian assumptions, we leverage a Central Limit Theorem (CLT) f...
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Learning Policies for Markov Decision Processes from Data
We consider the problem of learning a policy for a Markov decision proce...
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Network Anomaly Detection: A Survey and Comparative Analysis of Stochastic and Deterministic Methods
We present five methods to the problem of network anomaly detection. The...
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Ioannis Ch. Paschalidis
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