Papers
Disentangling Dynamical Systems: Causal Representation Learning Meets Local Sparse Attention
Markus W. Baumgartner, Anson Lei, Joe Watson et al.
Local Markov Equivalence for PC-style Local Causal Discovery and Identification of Controlled Direct Effects
Timothée Loranchet, Charles K. Assaad
Consistent End-to-End Estimation for Counterfactual Fairness
Yuchen Ma, Valentyn Melnychuk, Dennis Frauen et al.
Efficient and Provable Algorithms for Covariate Shift
Deeksha Adil, Jaroslaw Blasiok
Convex optimization with p-norm oracles
Deeksha Adil, Brian Bullins, Arun Jambulapati et al.
Eventually LIL Regret: Almost Sure $\ln\ln T$ Regret for a sub-Gaussian Mixture on Unbounded Data
Shubhada Agrawal, Aaditya Ramdas
Learning from Synthetic Data: Limitations of ERM
Kareem Amin, Alex Bie, Weiwei Kong et al.
Group-realizable multi-group learning by minimizing empirical risk
Navid Ardeshir, Samuel Deng, Daniel Hsu et al.
Robust Online Learning
Sajad Ashkezari
On the Hardness of Learning Regular Expressions
Idan Attias, Lev Reyzin, Nathan Srebro et al.
Reward Selection with Noisy Observations
Kamyar Azizzadenesheli, Trung Dang, Aranyak Mehta et al.
Discriminative Feature Feedback with General Teacher Classes
Omri Bar Oz, Tosca Lechner, Sivan Sabato
Predictive inference for time series: why is split conformal effective despite temporal dependence?
Rina Foygel Barber, Ashwin Pananjady
Beyond Discrepancy: A Closer Look at the Theory of Distribution Shift
Robi Bhattacharjee, Nicholas Rittler, Kamalika Chaudhuri
Sink equilibria and the attractors of learning in games
Oliver Biggar, Christos H. Papadimitriou
Regularized Robustly Reliable Learners
Avrim Blum, Donya Saless
Enjoying Non-linearity in Multinomial Logistic Bandits: A Minimax-Optimal Algorithm
Pierre Boudart, Pierre Gaillard, Alessandro Rudi
Privately Learning Decision Lists and a Differentially Private Winnow
Mark Bun, William Fang
Closeness testing from distributed measurements
Clement Louis Canonne, Aditya Vikram Singh
Pareto-optimal Non-uniform Language Generation
Moses Charikar, Chirag Pabbaraju
A Martingale Kernel Two-Sample Test
Anirban Chatterjee, Aaditya Ramdas
Sample-Near-Optimal Agnostic Boosting with Improved Running Time
Arthur da Cunha, Mikael Møller Høgsgaard, Andrea Paudice
On Purely Private Covariance Estimation
Tommaso d’Orsi, Gleb Novikov