| 2025 | A Unified Comparative Study with Generalized Conformity Scores for Multi-Output Conformal Regression. | Victor Dheur, Matteo Fontana, Yorick Estievenart, Naomi Desobry, Souhaib Ben Taieb |
| 2025 | Compressing tree ensembles through Level-wise Optimization and Pruning. | Laurens Devos, Timo Martens, Deniz Can Oruc, Wannes Meert, Hendrik Blockeel, Jesse Davis |
| 2025 | HashAttention: Semantic Sparsity for Faster Inference. | Aditya Desai, Shuo Yang, Alejandro Cuadron, Matei Zaharia, Joseph E. Gonzalez, Ion Stoica |
| 2025 | Theoretical Limitations of Ensembles in the Age of Overparameterization. | Niclas Dern, John Patrick Cunningham, Geoff Pleiss |
| 2025 | QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions. | Zhun Deng, Thomas P. Zollo, Benjamin Eyre, Amogh Inamdar, David Madras, Richard S. Zemel |
| 2025 | Unlocking the Power of Rehearsal in Continual Learning: A Theoretical Perspective. | Junze Deng, Qinhang Wu, Peizhong Ju, Sen Lin, Yingbin Liang, Ness B. Shroff |
| 2025 | A Versatile Influence Function for Data Attribution with Non-Decomposable Loss. | Junwei Deng, Weijing Tang, Jiaqi W. Ma |
| 2025 | EGPlace: An Efficient Macro Placement Method via Evolutionary Search with Greedy Repositioning Guided Mutation. | Ji Deng, Zhao Li, Ji Zhang, Jun Gao |
| 2025 | Procurement Auctions via Approximately Optimal Submodular Optimization. | Yuan Deng, Amin Karbasi, Vahab Mirrokni, Renato Paes Leme, Grigoris Velegkas, Song Zuo |
| 2025 | FireFlow: Fast Inversion of Rectified Flow for Image Semantic Editing. | Yingying Deng, Xiangyu He, Changwang Mei, Peisong Wang, Fan Tang |
| 2025 | Predicting mutational effects on protein binding from folding energy. | Arthur Deng, Karsten D. Householder, Fang Wu, K. Christopher Garcia, Brian L. Trippe |
| 2025 | Learning Distribution-wise Control in Representation Space for Language Models. | Chunyuan Deng, Ruidi Chang, Hanjie Chen |
| 2025 | EvoMesh: Adaptive Physical Simulation with Hierarchical Graph Evolutions. | Huayu Deng, Xiangming Zhu, Yunbo Wang, Xiaokang Yang |
| 2025 | Decision Making under the Exponential Family: Distributionally Robust Optimisation with Bayesian Ambiguity Sets. | Charita Dellaporta, Patrick O'Hara, Theodoros Damoulas |
| 2025 | A Unified Approach to Routing and Cascading for LLMs. | Jasper Dekoninck, Maximilian Baader, Martin T. Vechev |
| 2025 | An Efficient Matrix Multiplication Algorithm for Accelerating Inference in Binary and Ternary Neural Networks. | Mohsen Dehghankar, Mahdi Erfanian, Abolfazl Asudeh |
| 2025 | Improving Transformer World Models for Data-Efficient RL. | Antoine Dedieu, Joseph Ortiz, Xinghua Lou, Carter Wendelken, J. Swaroop Guntupalli, Wolfgang Lehrach, Miguel Lzaro-Gredilla, Kevin Patrick Murphy |
| 2025 | FisherSFT: Data-Efficient Supervised Fine-Tuning of Language Models Using Information Gain. | Rohan Deb, Kiran Koshy Thekumparampil, Kousha Kalantari, Gaurush Hiranandani, Shoham Sabach, Branislav Kveton |
| 2025 | Learning Gaussian DAG Models without Condition Number Bounds. | Constantinos Daskalakis, Anthimos Vardis Kandiros, Rui Yao |
| 2025 | A Geometric Approach to Personalized Recommendation with Set-Theoretic Constraints Using Box Embeddings. | Shib Sankar Dasgupta, Michael Boratko, Andrew McCallum |
| 2025 | Online Sparsification of Bipartite-Like Clusters in Graphs. | Joyentanuj Das, Suranjan De, He Sun |
| 2025 | Retraining with Predicted Hard Labels Provably Increases Model Accuracy. | Rudrajit Das, Inderjit S. Dhillon, Alessandro Epasto, Adel Javanmard, Jieming Mao, Vahab Mirrokni, Sujay Sanghavi, Peilin Zhong |
| 2025 | Position: A Theory of Deep Learning Must Include Compositional Sparsity. | David A. Danhofer, Davide D'Ascenzo, Rafael Dubach, Tomaso A. Poggio |
| 2025 | Near-Optimal Consistency-Robustness Trade-Offs for Learning-Augmented Online Knapsack Problems. | Mohammadreza Daneshvaramoli, Helia Karisani, Adam Lechowicz, Bo Sun, Cameron Musco, Mohammad Hajiesmaili |
| 2025 | Efficiently Vectorized MCMC on Modern Accelerators. | Hugh Dance, Pierre Glaser, Peter Orbanz, Ryan P. Adams |