Papers
Strategic Conformal Prediction
Daniel Csillag, Claudio Jose Struchiner, Guilherme Tegoni Goedert
Strong Screening Rules for Group-based SLOPE Models
Fabio Feser, Marina Evangelou
Structure based SAT dataset for analysing GNN generalisation
Yi Fu, Anthony Tompkins, Yang Song et al.
SubSearch: Robust Estimation and Outlier Detection for Stochastic Block Models via Subgraph Search
Leonardo Bianco, Christine Keribin, Zacharie Naulet
Subspace Recovery in Winsorized PCA: Insights into Accuracy and Robustness
Sangil Han, Kyoowon Kim, Sungkyu Jung
Superiority of Multi-Head Attention: A Theoretical Study in Shallow Transformers in In-Context Linear Regression
Yingqian Cui, Jie Ren, Pengfei He et al.
Survival Models: Proper Scoring Rule and Stochastic Optimization with Competing Risks
Julie Alberge, Vincent Maladiere, Olivier Grisel et al.
Symmetry-Based Structured Matrices for Efficient Approximately Equivariant Networks
Ashwin Samudre, Mircea Petrache, Brian Nord et al.
Synthesis and Analysis of Data as Probability Measures With Entropy-Regularized Optimal Transport
Brendan Mallery, James M. Murphy, Shuchin Aeron
Synthetic Potential Outcomes and Causal Mixture Identifiability
Bijan Mazaheri, Chandler Squires, Caroline Uhler
Tamed Langevin sampling under weaker conditions
Iosif Lytras, Panayotis Mertikopoulos
Task-Driven Discrete Representation Learning
Long Tung Vuong
Task Shift: From Classification to Regression in Overparameterized Linear Models
Tyler LaBonte, Kuo-Wei Lai, Vidya Muthukumar
TempTest: Local Normalization Distortion and the Detection of Machine-generated Text
Tom Kempton, Stuart Burrell, Connor J Cheverall
Tensor Network Based Feature Learning Model
Albert Saiapin, Kim Batselier
Tensor Network-Constrained Kernel Machines as Gaussian Processes
Frederiek Wesel, Kim Batselier
Testing Conditional Independence with Deep Neural Network Based Binary Expansion Testing (DeepBET)
Yang Yang, Kai Zhang, Ping-Shou Zhong
The cost of local and global fairness in Federated Learning
Yuying Duan, Gelei Xu, Yiyu Shi et al.
The Hardness of Validating Observational Studies with Experimental Data
Jake Fawkes, Michael O’Riordan, Athanasios Vlontzos et al.
The Local Learning Coefficient: A Singularity-Aware Complexity Measure
Edmund Lau, Zach Furman, George Wang et al.
Theoretical Analysis of Leave-one-out Cross Validation for Non-differentiable Penalties under High-dimensional Settings
Haolin Zou, Arnab Auddy, Kamiar Rahnama Rad et al.
Theoretical Convergence Guarantees for Variational Autoencoders
Sobihan Surendran, Antoine Godichon-Baggioni, Sylvain Le Corff
Theoretically Grounded Pruning of Large Ground Sets for Constrained, Discrete Optimization
Ankur Nath, Alan Kuhnle
Theory of Agreement-on-the-Line in Linear Models and Gaussian Data
Christina Baek, Aditi Raghunathan, J Zico Kolter
The Pivoting Framework: Frank-Wolfe Algorithms with Active Set Size Control
Mathieu Besançon, Sebastian Pokutta, Elias Samuel Wirth