Papers
Communication Bounds for the Distributed Experts Problem
Zhihao Jia, Qi Pang, Trung Tran et al.
Communication Efficient Distributed Training with Distributed Lion
Bo Liu, Lemeng Wu, Lizhang Chen et al.
Communication-Efficient Federated Group Distributionally Robust Optimization
Zhishuai Guo, Tianbao Yang
Community Detection Guarantees using Embeddings Learned by Node2Vec
Andrew Davison, S. Carlyle Morgan, Owen G. Ward
Compact Language Models via Pruning and Knowledge Distillation
Saurav Muralidharan, Sharath Turuvekere Sreenivas, Raviraj Joshi et al.
Compact Proofs of Model Performance via Mechanistic Interpretability
Jason Gross, Rajashree Agrawal, Thomas Kwa et al.
Complete Graphical Criterion for Sequential Covariate Adjustment in Causal Inference
Yonghan Jung, Min Woo Park, Sanghack Lee
Compositional 3D-aware Video Generation with LLM Director
Hanxin Zhu, Tianyu He, Anni Tang et al.
Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning
Beyazit Yalcinkaya, Niklas Lauffer, Marcell Vazquez-Chanlatte et al.
Compositional Generalization Across Distributional Shifts with Sparse Tree Operations
Paul Soulos, Henry Conklin, Mattia Opper et al.
Compositional PAC-Bayes: Generalization of GNNs with persistence and beyond
Kirill Brilliantov, Amauri H. Souza, Vikas Garg
Compressing Large Language Models using Low Rank and Low Precision Decomposition
Rajarshi Saha, Naomi Sagan, Varun Srivastava et al.
Computational Aspects of Bayesian Persuasion under Approximate Best Response
Kunhe Yang, Hanrui Zhang
Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference
Jonathan Wenger, Kaiwen Wu, Philipp Hennig et al.
Computerized Adaptive Testing via Collaborative Ranking
Zirui Liu, Yan Zhuang, Qi Liu et al.
Computing the Bias of Constant-step Stochastic Approximation with Markovian Noise
Sebastian Allmeier, Nicolas Gast
Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification
Junru Chen, Tianyu Cao, Jing Xu et al.
Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models
Chengzhengxu Li, Xiaoming Liu, Zhaohan Zhang et al.
ConceptFactory: Facilitate 3D Object Knowledge Annotation with Object Conceptualization
Jianhua Sun, Yuxuan Li, Longfei Xu et al.
ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty
Xindi Wu, Dingli Yu, Yangsibo Huang et al.
Conditional Controllable Image Fusion
Bing Cao, Xingxin Xu, Pengfei Zhu et al.
Conditional Density Estimation with Histogram Trees
Lincen Yang, Matthijs van Leeuwen
Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand
Md Musfiqur Rahman, Matt Jordan, Murat Kocaoglu
Conditional Outcome Equivalence: A Quantile Alternative to CATE
Josh Givens, Henry W J Reeve, Song Liu et al.
Conditional Synthesis of 3D Molecules with Time Correction Sampler
Hojung Jung, Youngrok Park, Laura Schmid et al.