Poster
|
Thu 14:00
|
Generic bounds on the approximation error for physics-informed (and) operator learning
Tim De Ryck · Siddhartha Mishra
|
|
Poster
|
Wed 14:00
|
An Analysis of Ensemble Sampling
Chao Qin · Zheng Wen · Xiuyuan Lu · Benjamin Van Roy
|
|
Poster
|
Thu 9:00
|
Physics-Informed Implicit Representations of Equilibrium Network Flows
Kevin D. Smith · Francesco Seccamonte · Ananthram Swami · Francesco Bullo
|
|
Poster
|
Wed 14:00
|
Evaluated CMI Bounds for Meta Learning: Tightness and Expressiveness
Fredrik Hellström · Giuseppe Durisi
|
|
Poster
|
Thu 9:00
|
Relational Proxies: Emergent Relationships as Fine-Grained Discriminators
ABHRA CHAUDHURI · Massimiliano Mancini · Zeynep Akata · Anjan Dutta
|
|
Poster
|
|
Information bottleneck theory of high-dimensional regression: relevancy, efficiency and optimality
Vudtiwat Ngampruetikorn · David Schwab
|
|
Poster
|
Wed 14:00
|
Efficient coding, channel capacity, and the emergence of retinal mosaics
Na Young Jun · Greg Field · John Pearson
|
|
Poster
|
Tue 9:00
|
Deciding What to Model: Value-Equivalent Sampling for Reinforcement Learning
Dilip Arumugam · Benjamin Van Roy
|
|
Poster
|
Thu 14:00
|
A New Family of Generalization Bounds Using Samplewise Evaluated CMI
Fredrik Hellström · Giuseppe Durisi
|
|
Poster
|
Wed 14:00
|
An Information-Theoretic Framework for Deep Learning
Hong Jun Jeon · Benjamin Van Roy
|
|
Poster
|
Wed 9:00
|
On the Epistemic Limits of Personalized Prediction
Lucas Monteiro Paes · Carol Long · Berk Ustun · Flavio Calmon
|
|
Workshop
|
|
Revisiting Attention Weights as Explanations from an Information Theoretic Perspective
Bingyang Wen · Koduvayur (Suba) Subbalakshmi · Fan Yang
|
|