Summary of Approximation-aware Bayesian Optimization, by Natalie Maus et al.
Approximation-Aware Bayesian Optimizationby Natalie Maus, Kyurae Kim, Geoff Pleiss, David Eriksson, John P. Cunningham, Jacob…
Summary of Theoretical Guarantees For Variational Inference with Fixed-variance Mixture Of Gaussians, by Tom Huix et al.
Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussiansby Tom Huix, Anna Korba, Alain…
Summary of Enhancing In-context Learning Performance with Just Svd-based Weight Pruning: a Theoretical Perspective, by Xinhao Yao et al.
Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical Perspectiveby Xinhao Yao, Xiaolin…
Summary of Speed Of Light Exact Greedy Decoding For Rnn-t Speech Recognition Models on Gpu, by Daniel Galvez et al.
Speed of Light Exact Greedy Decoding for RNN-T Speech Recognition Models on GPUby Daniel Galvez,…
Summary of Discovering Bias in Latent Space: An Unsupervised Debiasing Approach, by Dyah Adila et al.
Discovering Bias in Latent Space: An Unsupervised Debiasing Approachby Dyah Adila, Shuai Zhang, Boran Han,…
Summary of Reconciling Heterogeneous Effects in Causal Inference, by Audrey Chang et al.
Reconciling Heterogeneous Effects in Causal Inferenceby Audrey Chang, Emily Diana, Alexander Williams TolbertFirst submitted to…
Summary of Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks: An Extended Investigation, by Marvin Schmitt et al.
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks: An Extended Investigationby Marvin Schmitt,…
Summary of Inferring the Time-varying Coupling Of Dynamical Systems with Temporal Convolutional Autoencoders, by Josuan Calderon and Gordon J. Berman
Inferring the time-varying coupling of dynamical systems with temporal convolutional autoencodersby Josuan Calderon, Gordon J.…
Summary of Choice Of Peft Technique in Continual Learning: Prompt Tuning Is Not All You Need, by Martin Wistuba and Prabhu Teja Sivaprasad and Lukas Balles and Giovanni Zappella
Choice of PEFT Technique in Continual Learning: Prompt Tuning is Not All You Needby Martin…
Summary of Global Clipper: Enhancing Safety and Reliability Of Transformer-based Object Detection Models, by Qutub Syed Sha et al.
Global Clipper: Enhancing Safety and Reliability of Transformer-based Object Detection Modelsby Qutub Syed Sha, Michael…