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Online Causal Inference for Advertising in Real-Time Bidding Auctions
Prediction Intervals for Synthetic Control Methods
Distributed Deep Convolutional Neural Networks for the Internet-of-Things
Saddlepoint approximations for spatial panel data models
Training DNN IoT Applications for Deployment On Analog NVM Crossbars
Optimizing Loss Functions Through Multivariate Taylor Polynomial Parameterization
MagNet: Discovering Multi-agent Interaction Dynamics using Neural Network
Entropy Balancing for Continuous Treatments
Clock synchronization over networks -- Identifiability of the sawtooth model
Encoding-based Memory Modules for Recurrent Neural Networks
Judicial Favoritism of Politicians: Evidence from Small Claims Court
Blocked Clusterwise Regression
AppStreamer: Reducing Storage Requirements of Mobile Games through Predictive Streaming
Provable Benefit of Orthogonal Initialization in Optimizing Deep Linear Networks
Dynamic Gauss Newton Metropolis Algorithm
On Exact Computation with an Infinitely Wide Neural Net
Decision Automation for Electric Power Network Recovery
A response-matrix-centred approach to presenting cross-section measurements
