| Inductive Biases and Variable Creation in Self-Attention Mechanisms
|
2023 |
Edelman, Benjamin L. |
| Understanding Dataset Difficulty with V-Usable Information
|
2023 |
Ethayarajh, Kawin |
| Head2Toe: Utilizing Intermediate Representations for Better Transfer Learning
|
2023 |
Evci, Utku |
| An Equivalence Between Data Poisoning and Byzantine Gradient Attacks
|
2023 |
Farhadkhani, Sadegh |
| Investigating Generalization by Controlling Normalized Margin
|
2023 |
Farhang, Alexander R. |
| Matching Structure for Dual Learning
|
2023 |
Fei, Hao |
| Kernelized Multiplicative Weights for 0/1-Polyhedral Games: Bridging the Gap Between Learning in Extensive-Form and Normal-Form Games
|
2023 |
Farina, Gabriele |
| Principled Knowledge Extrapolation with GANs
|
2023 |
Feng, Ruili |
| Coordinated Double Machine Learning
|
2023 |
Fingerhut, Nitai |
| Conformal Prediction Sets with Limited False Positives
|
2023 |
Fisch, Adam |
| Fast Relative Entropy Coding with A* Coding
|
2023 |
Flamich, Gergely |
| Label Ranking Through Nonparametric Regression
|
2023 |
Fotakis, Dimitris |
| Discrete Tree Flows Via Tree-Structured Permutations
|
2023 |
Elkady, Mai |
| PathGCN: Learning General Graph Spatial Operators from Paths
|
2023 |
Eliasof, Moshe |
| For Learning in Symmetric Teams, Local Optima Are Global Nash Equilibria
|
2023 |
Emmons, Scott |
| Variational Sparse Coding with Learned Thresholding
|
2023 |
Fallah, Kion |
| Generalized Data Distribution Iteration
|
2023 |
Fan, Jiajun |
| Local Linear Convergence of Douglas-Rachford for Linear Programming: A Probabilistic Analysis
|
2023 |
Faust, Oisin |
| Private Frequency Estimation Via Projective Geometry
|
2023 |
Feldman, Vitaly |
| Model-Value Inconsistency as a Signal for Epistemic Uncertainty
|
2023 |
Filos, Angelos |
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