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TitleStatusHype
A Fourier representation of kernel Stein discrepancy with application to Goodness-of-Fit tests for measures on infinite dimensional Hilbert spacesCode0
Learning Non-Vacuous Generalization Bounds from OptimizationCode0
Bounded Rationality and Animal Spirits: A Fluctuation-Response Approach to Slutsky Matrices—0
Fast Kernel Methods for Generic Lipschitz Losses via p-Sparsified SketchesCode0
Spatial Parsing and Dynamic Temporal Pooling networks for Human-Object Interaction detection—0
Spectral Bias Outside the Training Set for Deep Networks in the Kernel RegimeCode0
MPE inference using an Incremental Build-Infer-Approximate Paradigm—0
Neural Lyapunov Control of Unknown Nonlinear Systems with Stability GuaranteesCode1
Discovering Ancestral Instrumental Variables for Causal Inference from Observational DataCode0
Randomization Inference Tests for Shift-Share Designs—0
EfficientNeRF: Efficient Neural Radiance FieldsCode1
Data Sets of Eating Disorders by Categorizing Reddit and Tumblr Posts: A Multilingual Comparative Study Based on Empirical Findings of Texts and Images—0
Beyond Explanation: A Case for Exploratory Text Visualizations of Non-Aggregated, Annotated Datasets—0
Valet: Rule-Based Information Extraction for Rapid Deployment—0
What Is Going through Your Mind? Metacognitive Events Classification in Human-Agent Interactions—0
Language Technologies for the Creation of Multilingual Terminologies. Lessons Learned from the SSHOC Project—0
Causal Investigation of Public Opinion during the COVID-19 Pandemic via Social Media Text—0
Non-Intrusive Reduced Models based on Operator Inference for Chaotic Systems—0
Transformer with Fourier Integral Attentions—0
Why Did This Model Forecast This Future? Closed-Form Temporal Saliency Towards Causal Explanations of Probabilistic Forecasts—0
Comparative statics with adjustment costs and the Le Chatelier principle—0
Communication-efficient distributed eigenspace estimation with arbitrary node failures—0
Simulator-Based Inference with Waldo: Confidence Regions by Leveraging Prediction Algorithms and Posterior Estimators for Inverse ProblemsCode1
One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional MatchingCode1
A novel approach to rating transition modelling via Machine Learning and SDEs on Lie groupsCode0
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