Skip to yearly menu bar Skip to main content


Search All 2024 Events
 

67 Results

<<   <   Page 3 of 6   >   >>
Workshop
Sat 11:00 Optimizing Data Use for Efficient Pre-training
Danqi Chen
Poster
Thu 11:00 DACO: Towards Application-Driven and Comprehensive Data Analysis via Code Generation
Xueqing Wu · Rui Zheng · Jingzhen Sha · Te-Lin Wu · Hanyu Zhou · Tang Mohan · Kai-Wei Chang · Nanyun Peng · Haoran Huang
Poster
Thu 16:30 Improving Generalization in Federated Learning with Model-Data Mutual Information Regularization: A Posterior Inference Approach
Hao Zhang · Chenglin Li · Nuowen Kan · Ziyang Zheng · Wenrui Dai · Junni Zou · Hongkai Xiong
Poster
Fri 16:30 Quantifying and Optimizing Global Faithfulness in Persona-driven Role-playing
Letian Peng · Jingbo Shang
Poster
Thu 11:00 TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks
Benjamin Feuer · Robin Schirrmeister · Valeriia Cherepanova · Chinmay Hegde · Frank Hutter · Micah Goldblum · Niv Cohen · Colin White
Workshop
Surrogate-based Physical Error Correction for Spectroscopy Quantification
ruiyuan kang · Panagiotis Liatsis · Meixia Geng · Qingjie Yang
Workshop
Reward Copilot for RL-driven Systems Optimization
Karan Tandon · Manav Mishra · Gagan Somashekar · Mayukh Das · Nagarajan Natarajan
Workshop
On Optimal Subgroups for Group Distributionally Robust Optimisation
Anissa Alloula · Daniel McGowan · Bartlomiej W. Papiez
Poster
Thu 16:30 Public-data Assisted Private Stochastic Optimization: Power and Limitations
Enayat Ullah · Michael Menart · Raef Bassily · Cristóbal Guzmán · Raman Arora
Workshop
Aggregating Data for Optimal and Private Learning
Sushant Agarwal · Yukti Makhija · Rishi Saket · Aravindan Raghuveer
Poster
Wed 16:30 Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data
Xuxing Chen · Abhishek Roy · Yifan Hu · Krishnakumar Balasubramanian
Poster
Fri 16:30 Scale-invariant Optimal Sampling for Rare-events Data and Sparse Models
Jing Wang · HaiYing Wang · Hao Zhang