Papers
Model Merging as Probabilistic Inference in Fine-Tuning Parameter Space
Long Minh Bui, Tuan Anh Le Van, Tung Phi Duc et al.
Causal Discovery with Metadata-Informed Latent Types
Philippe Brouillard, Alexandre Drouin, Dhanya Sridhar
Task Expansion and Cross Refinement for Open-World Conditional Modeling
Shreyas Bhat Brahmavar, Qiyang Liu, Yang Li et al.
Bayesian Symbolic Regression with Entropic Reinforcement Learning
Oussama Boussif, Mohammed Mahfoud, Younesse Kaddar et al.
Fundamental Limits and Optimal Methods for Sharp Analytical Causal Bounds in Instrumental Variable Models
Arefe Boushehrian, Mohammad Reza Badri, Sina Akbari et al.
Proximal Policy Optimization Suffices for On-Policy Reinforcement Learning
Rayane Bouftini, Mohammed Benzaouia
Characterising the Convergence of Imprecise Markov Chains
Jasper De Bock, Alexander Erreygers, Floris Persiau
Algorithm Design and Stronger Guarantees for the Improving Multi-Armed Bandits Problem
Avrim Blum, Marten Garicano, Kavya Ravichandran et al.
Robust Weighted Triangulation of Causal Effects Under Model Uncertainty
Rohit Bhattacharya, Ina Ocelli, Ted Westling
Testing Partially-Identifiable Causal Queries Using Ternary Tests
Sourbh Bhadane, Joris M. Mooij, Philip Boeken et al.
Approximation Rates for Schrödinger Bridge Potentials via Fixed-Point ERM
Denis Belomestny, Alexey Naumov, Nikita Puchkin et al.
Bound to Disagree: Generalization Bounds via Certifiable Surrogates
Mathieu Bazinet, Valentina Zantedeschi, Pascal Germain
Sparse recovery of Diffusion Dynamics: Handling High-Dimensionality in Repeated Short Trajectories
Elise Bayraktar, Charlotte Dion-Blanc
Anomaly detection in time-series via inductive biases in the latent space of conditional normalizing flows
David Baumgartner, Eliezer de Souza da Silva, Iñigo Urteaga
Gradual Uncertainty Refinement via Noise-Driven Curriculum: A Post-Hoc Meta-Model for Robust Uncertainty Quantification
Charmaine Barker, Daniel Bethell, Simos Gerasimou
Stop Probing, Start Coding: Why Linear Probes and Sparse Autoencoders Fail at Compositional Generalization
Vitória Barin-Pacela, Shruti Joshi, Isabela Camacho et al.
Dynamic Regret in Outlier-Oblivious Online Optimization using Nonconvex Robust Losses
Adarsh Barik, Anand Krishna, Vincent Y. F. Tan
Gaussian Process Limit Reveals Structural Benefits of Graph Transformers
Nil Ayday, Lingchu Yang, Debarghya Ghoshdastidar
Robust Transfer Learning With Side Information
Akram Awad, Shihab Ahmed, Yue Wang et al.
Probably Correct Optimal Stable Matching under Two-Sided Uncertainty
Andreas Athanasopoulos, Anne-Marie George, Christos Dimitrakakis
Improving RCT-Based Treatment Effect Estimation Under Covariate Mismatch via Calibrated Alignment
Amir Asiaee, Samhita Pal
Partial Causal Structure Learning for Valid Selective Conformal Inference under Interventions
Amir Asiaee, Kaveh Aryan, James P. Long