Papers
Distributional Diffusion Models with Scoring Rules
Valentin De Bortoli, Alexandre Galashov, J Swaroop Guntupalli et al.
Accelerated Diffusion Models via Speculative Sampling
Valentin De Bortoli, Alexandre Galashov, Arthur Gretton et al.
Learning Gaussian DAG Models without Condition Number Bounds
Constantinos Costis Daskalakis, Anthimos Vardis Kandiros, Rui Yao
A Geometric Approach to Personalized Recommendation with Set-Theoretic Constraints Using Box Embeddings
Shib Sankar Dasgupta, Michael Boratko, Andrew Mccallum
Retraining with Predicted Hard Labels Provably Increases Model Accuracy
Rudrajit Das, Inderjit S Dhillon, Alessandro Epasto et al.
Online Sparsification of Bipartite-Like Clusters in Graphs
Joyentanuj Das, Suranjan De, He Sun
Near-Optimal Consistency-Robustness Trade-Offs for Learning-Augmented Online Knapsack Problems
Mohammadreza Daneshvaramoli, Helia Karisani, Adam Lechowicz et al.
Efficiently Vectorized MCMC on Modern Accelerators
Hugh Dance, Pierre Glaser, Peter Orbanz et al.
Shifting Time: Time-series Forecasting with Khatri-Rao Neural Operators
Srinath Dama, Kevin Course, Prasanth B. Nair
Monte-Carlo Tree Search with Uncertainty Propagation via Optimal Transport
Tuan Quang Dam, Pascal Stenger, Lukas Schneider et al.
Online Robust Reinforcement Learning Through Monte-Carlo Planning
Tuan Quang Dam, Kishan Panaganti, Brahim Driss et al.
Efficient Noise Calculation in Deep Learning-based MRI Reconstructions
Onat Dalmaz, Arjun D Desai, Reinhard Heckel et al.
Sparse-pivot: Dynamic correlation clustering for node insertions
Mina Dalirrooyfard, Konstantin Makarychev, Slobodan Mitrović
Policy Gradient with Tree Expansion
Gal Dalal, Assaf Hallak, Gugan Thoppe et al.
MindAligner: Explicit Brain Functional Alignment for Cross-Subject Visual Decoding from Limited fMRI Data
Yuqin Dai, Zhouheng Yao, Chunfeng Song et al.
Are LLMs Prescient? A Continuous Evaluation using Daily News as the Oracle
Hui Dai, Ryan Teehan, Mengye Ren
Latent Variable Causal Discovery under Selection Bias
Haoyue Dai, Yiwen Qiu, Ignavier Ng et al.
MemFreezing: A Novel Adversarial Attack on Temporal Graph Neural Networks under Limited Future Knowledge
Yue Dai, Liang Liu, Xulong Tang et al.
Confidence Difference Reflects Various Supervised Signals in Confidence-Difference Classification
Yuanchao Dai, Ximing Li, Changchun Li
Learning With Multi-Group Guarantees For Clusterable Subpopulations
Jessica Dai, Nika Haghtalab, Eric Zhao
From Individual Experience to Collective Evidence: A Reporting-Based Framework for Identifying Systemic Harms
Jessica Dai, Paula Gradu, Inioluwa Deborah Raji et al.
Robust Secure Swap: Responsible Face Swap With Persons of Interest Redaction and Provenance Traceability
Yunshu Dai, Jianwei Fei, Fangjun Huang et al.
SAN: Hypothesizing Long-Term Synaptic Development and Neural Engram Mechanism in Scalable Model’s Parameter-Efficient Fine-Tuning
Gaole Dai, Chun-Kai Fan, Yiming Tang et al.