
A Regret Minimization Approach to Iterative Learning Control
We consider the setting of iterative learning control, or modelbased po...
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Deluca – A Differentiable Control Library: Environments, Methods, and Benchmarking
We present an opensource library of natively differentiable physics and...
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Boosting for Online Convex Optimization
We consider the decisionmaking framework of online convex optimization ...
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Machine Learning for Mechanical Ventilation Control
We consider the problem of controlling an invasive mechanical ventilator...
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MidAir Drawing of Curves on 3D Surfaces in AR/VR
Complex 3D curves can be created by directly drawing midair in immersiv...
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RigNet: Neural Rigging for Articulated Characters
We present RigNet, an endtoend automated method for producing animatio...
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Levitating Rigid Objects with Hidden Support Structures
We propose a novel algorithm to efficiently generate hidden structures t...
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NoRegret Prediction in Marginally Stable Systems
We consider the problem of online prediction in a marginally stable line...
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Improper Learning for NonStochastic Control
We consider the problem of controlling a possibly unknown linear dynamic...
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The Nonstochastic Control Problem
We consider the problem of controlling an unknown linear dynamical syste...
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Logarithmic Regret for Online Control
We study optimal regret bounds for control in linear dynamical systems u...
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Predicting Animation Skeletons for 3D Articulated Models via Volumetric Nets
We present a learning method for predicting animation skeletons for inpu...
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A system for efficient 3D printed stopmotion face animation
Computer animation in conjunction with 3D printing has the potential to ...
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Online Control with Adversarial Disturbances
We study the control of a linear dynamical system with adversarial distu...
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Provably Efficient Maximum Entropy Exploration
Suppose an agent is in a (possibly unknown) Markov decision process (MDP...
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Designing Volumetric Truss Structures
We present the first algorithm for designing volumetric Michell Trusses....
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The Case for FullMatrix Adaptive Regularization
Adaptive regularization methods come in diagonal and fullmatrix variant...
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Color Sails: DiscreteContinuous Palettes for Deep Color Exploration
We present color sails, a discretecontinuous color gamut representation...
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VisemeNet: AudioDriven AnimatorCentric Speech Animation
We present a novel deeplearning based approach to producing animatorce...
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Spectral Filtering for General Linear Dynamical Systems
We give a polynomialtime algorithm for learning latentstate linear dyn...
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Learning Linear Dynamical Systems via Spectral Filtering
We present an efficient and practical algorithm for the online predictio...
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Efficient Regret Minimization in NonConvex Games
We consider regret minimization in repeated games with nonconvex loss f...
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Dynamic Task Allocation for Crowdsourcing Settings
We consider the problem of optimal budget allocation for crowdsourcing p...
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The Price of Differential Privacy For Online Learning
We design differentially private algorithms for the problem of online li...
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Karan Singh
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