- Deep Transfer Q-Learning for Offline Non-Stationary Reinforcement Learning. Wednesday, November 19th, 2025 -- Jinhang Chai, Princeton University
- Incentive-compatible forecasting competitions. Wednesday, November 12th, 2025 -- David Pennock, Rutgers University
- Nullstrap: A Simple, High-Power, and Fast Framework for FDR Control in Variable Selection for Diverse High-Dimensional ModelsNullstrap: A Simple, High-Power, and Fast Framework for FDR Control in Variable Selection for Diverse High-Dimensional Models. Tuesday, November 4th, 2025 -- Jingyi (Jessica) Li, Fred Hutchinson Cancer Center
- Recent Advances in MM Optimization Algorithms. Wednesday, October 29th, 2025 -- Hua Zhou, UCLA
- Resampling-based pseudo-training in genomic predictions. Wednesday, October 22nd, 2025 -- Bingxin Zhao, University of Pennsylvania
- Robust generalization and transfer learning with sensitivity analysis. Wednesday, October 15th, 2025 -- Hyunseung Kang, University of Wisconsin
- Sequential Monte Carlo meets diffusion models. Wednesday, October 8th, 2025 -- Luhuan Wu, Flatiron Institute
- Aggregating dependent signals: validity and power of Heavy-Tailed Combination Tests. Wednesday, October 1st, 2025 -- Jingshu Wang, University of Chicago
- Markov Chain Variance Estimation: A Stochastic Approximation Approach. Wednesday, September 24th, 2025 -- Siva Theja Maguluri, Georgia Tech
- Nonconvex learning problems with modular solutions. Wednesday, September 17th, 2025 -- Yuqian Zhang, Rutgers University
- PennPRS: a centralized cloud computing platform for efficient polygenic risk score training. Wednesday, September 10th, 2025 -- Jin Jin, University of Pennsylvania
