| 2025 | Adaptive Estimation and Learning under Temporal Distribution Shift. | Dheeraj Baby, Yifei Tang, Hieu Duy Nguyen, Yu-Xiang Wang, Rohit Pyati |
| 2025 | Near-Optimal Decision Trees in a SPLIT Second. | Varun Babbar, Hayden McTavish, Cynthia Rudin, Margo I. Seltzer |
| 2025 | Visual Graph Arena: Evaluating Visual Conceptualization of Vision and Multimodal Large Language Models. | Zahra Babaiee, Peyman M. Kiasari, Daniela Rus, Radu Grosu |
| 2025 | Beyond Topological Self-Explainable GNNs: A Formal Explainability Perspective. | Steve Azzolin, Sagar Malhotra, Andrea Passerini, Stefano Teso |
| 2025 | The Global Convergence Time of Stochastic Gradient Descent in Non-Convex Landscapes: Sharp Estimates via Large Deviations. | Wass Azizian, Franck Iutzeler, Jrme Malick, Panayotis Mertikopoulos |
| 2025 | PAC Learning with Improvements. | Idan Attias, Avrim Blum, Keziah Naggita, Donya Saless, Dravyansh Sharma, Matthew R. Walter |
| 2025 | Faster Stochastic Optimization with Arbitrary Delays via Adaptive Asynchronous Mini-Batching. | Amit Attia, Ofir Gaash, Tomer Koren |
| 2025 | Risk and cross validation in ridge regression with correlated samples. | Alexander B. Atanasov, Jacob A. Zavatone-Veth, Cengiz Pehlevan |
| 2025 | Autoformulation of Mathematical Optimization Models Using LLMs. | Nicols Astorga, Tennison Liu, Yuanzhang Xiao, Mihaela van der Schaar |
| 2025 | Faster Rates for Private Adversarial Bandits. | Hilal Asi, Vinod Raman, Kunal Talwar |
| 2025 | Tracking The Best Expert Privately. | Hilal Asi, Vinod Raman, Aadirupa Saha |
| 2025 | LLMs can see and hear without any training. | Kumar Ashutosh, Yossi Gandelsman, Xinlei Chen, Ishan Misra, Rohit Girdhar |
| 2025 | Gridded Transformer Neural Processes for Spatio-Temporal Data. | Matthew Ashman, Cristiana Diaconu, Eric Langezaal, Adrian Weller, Richard E. Turner |
| 2025 | Aligning LLMs by Predicting Preferences from User Writing Samples. | Stphane Aroca-Ouellette, Natalie Mackraz, Barry-John Theobald, Katherine Metcalf |
| 2025 | Revisiting Instance-Optimal Cluster Recovery in the Labeled Stochastic Block Model. | Kaito Ariu, Alexandre Proutire, Se-Young Yun |
| 2025 | Online Conformal Prediction via Online Optimization. | Felipe Areces, Christopher Mohri, Tatsunori Hashimoto, John C. Duchi |
| 2025 | Improving Multi-Class Calibration through Normalization-Aware Isotonic Techniques. | Alon Arad, Saharon Rosset |
| 2025 | Position: Generative AI Regulation Can Learn from Social Media Regulation. | Ruth Elisabeth Appel |
| 2025 | Position: LLM Social Simulations Are a Promising Research Method. | Jacy Reese Anthis, Ryan Liu, Sean M. Richardson, Austin C. Kozlowski, Bernard Koch, Erik Brynjolfsson, James A. Evans, Michael S. Bernstein |
| 2025 | Raptor: Scalable Train-Free Embeddings for 3D Medical Volumes Leveraging Pretrained 2D Foundation Models. | Ulzee An, Moonseong Jeong, Simon A. Lee, Aditya Gorla, Yuzhe Yang, Sriram Sankararaman |
| 2025 | A Reasoning-Based Approach to Cryptic Crossword Clue Solving. | Martin Andrews, Sam Witteveen |
| 2025 | Private Lossless Multiple Release. | Joel Daniel Andersson, Lukas Retschmeier, Boel Nelson, Rasmus Pagh |
| 2025 | Pixel-level Certified Explanations via Randomized Smoothing. | Alaa Anani, Tobias Lorenz, Mario Fritz, Bernt Schiele |
| 2025 | Graph-Based Algorithms for Diverse Similarity Search. | Piyush Anand, Piotr Indyk, Ravishankar Krishnaswamy, Sepideh Mahabadi, Vikas C. Raykar, Kirankumar Shiragur, Haike Xu |
| 2025 | Training Flexible Models of Genetic Variant Effects from Functional Annotations using Accelerated Linear Algebra. | Alan Nawzad Amin, Andres Potapczynski, Andrew Gordon Wilson |