Papers
12094 papers
TMLR2025
Mitigating Unintended Memorization with LoRA in Federated Learning for LLMs
Summary pending...
TMLR2025
From Words To Rewards: Leveraging Natural Language For Reinforcement Learning
Summary pending...
TMLR2025
Diffusion posterior sampling for simulation-based inference in tall data settings
Summary pending...
TMLR2025
Benchmarking Missing Data Imputation Methods in Socioeconomic Surveys
Summary pending...
TMLR2025
Learning to Defer with an Uncertain Rejector via Conformal Prediction
Summary pending...
TMLR2025
Variational Visual Question Answering for Uncertainty-Aware Selective Prediction
Summary pending...
TMLR2025
Convergence of Stochastic Gradient Langevin Dynamics in the Lazy Training Regime
Summary pending...
TMLR2025
DiffCATS: Causally Associated Time-Series Generation through Diffusion Models
Summary pending...
TMLR2025
Universal Differential Equations for Stable Multi-Step Volatility Time Series Forecasting
Summary pending...
TMLR2025
On-Policy Policy Gradient Reinforcement Learning Without On-Policy Sampling
Summary pending...
TMLR2025
Continuous Treatment Effect Estimation with Cauchy-Schwarz Divergence Information Bottleneck
Summary pending...
TMLR2025
On Sketching for Gaussian Process Regression with New Statistical Guarantees
Summary pending...
TMLR2025
A Multilevel Low-Rank Newton Method with Super-linear Convergence Rate and its Application to Non-convex Problems
Summary pending...
TMLR2025
Fuzzy PyTorch: Rapid Numerical Variability Evaluation for Deep Learning Models
Summary pending...
TMLR2025
Kernel Matrix Estimation of a Determinantal Point Process from a Finite Set of Samples: Properties and Algorithms
Summary pending...
TMLR2025
FedLog: Personalized Federated Classification with Less Communication and More Flexibility
Summary pending...
TMLR2025
Stochastic Multi-Objective Multi-Armed Bandits: Regret Definition and Algorithm
Summary pending...