
UDO: Universal Database Optimization using Reinforcement Learning
UDO is a versatile tool for offline tuning of database systems for speci...
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εnet Induced Lazy Witness Complexes on Graphs
Computation of persistent homology of simplicial representations such as...
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Justicia: A Stochastic SAT Approach to Formally Verify Fairness
As a technology ML is oblivious to societal good or bad, and thus, the f...
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Construction and Random Generation of Hypergraphs with Prescribed Degree and Dimension Sequences
We propose algorithms for construction and random generation of hypergra...
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Differential Privacy at Risk: Bridging Randomness and Privacy Budget
The calibration of noise for a privacypreserving mechanism depends on t...
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Inferential Induction: Joint Bayesian Estimation of MDPs and Value Functions
Bayesian reinforcement learning (BRL) offers a decisiontheoretic soluti...
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Nearoptimal Bayesian Solution For Unknown Discrete Markov Decision Process
We tackle the problem of acting in an unknown finite and discrete Markov...
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Nearoptimal Reinforcement Learning using Bayesian Quantiles
We study modelbased reinforcement learning in finite communicating Mark...
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Topological Data Analysis with εnet Induced Lazy Witness Complex
Topological data analysis computes and analyses topological features of ...
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Differential Privacy for Multiarmed Bandits: What Is It and What Is Its Cost?
We introduce a number of privacy definitions for the multiarmed bandit ...
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Nearoptimal Optimistic Reinforcement Learning using Empirical Bernstein Inequalities
We study modelbased reinforcement learning in an unknown finite communi...
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BelMan: Bayesian Bandits on the BeliefReward Manifold
We propose a generic, Bayesian, information geometric approach to the ex...
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Debabrota Basu
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