Papers
Linear Submodular Maximization with Bandit Feedback
Wenjing Chen, Victoria G. Crawford
LITE: Efficiently Estimating Gaussian Probability of Maximality
Nicolas Menet, Jonas Hübotter, Parnian Kassraie et al.
LMEraser: Large Model Unlearning via Adaptive Prompt Tuning
Jie Xu, Zihan Wu, Cong Wang et al.
Locally Optimal Descent for Dynamic Stepsize Scheduling
Gilad Yehudai, Alon Cohen, Amit Daniely et al.
Locally Private Estimation with Public Features
Yuheng Ma, Ke Jia, Hanfang Yang
Locally Private Sampling with Public Data
Behnoosh Zamanlooy, Mario Diaz, Shahab Asoodeh
Local Stochastic Sensitivity Analysis For Dynamical Systems
Nishant Panda, Jehanzeb H Chaudhry, Natalie Klein et al.
Logarithmic Neyman Regret for Adaptive Estimation of the Average Treatment Effect
Ojash Neopane, Aaditya Ramdas, Aarti Singh
Looped ReLU MLPs May Be All You Need as Practical Programmable Computers
Yingyu Liang, Zhizhou Sha, Zhenmei Shi et al.
Loss Gradient Gaussian Width based Generalization and Optimization Guarantees
Arindam Banerjee, Qiaobo Li, Yingxue Zhou
Lower Bounds for Time-Varying Kernelized Bandits
Xu Cai, Jonathan Scarlett
M$^2$AD: Multi-Sensor Multi-System Anomaly Detection through Global Scoring and Calibrated Thresholding
Sarah Alnegheimish, Zelin He, Matthew Reimherr et al.
Max-Rank: Efficient Multiple Testing for Conformal Prediction
Alexander Timans, Christoph-Nikolas Straehle, Kaspar Sakmann et al.
MDP Geometry, Normalization and Reward Balancing Solvers
Arsenii Mustafin, Aleksei Pakharev, Alex Olshevsky et al.
Mean-Field Microcanonical Gradient Descent
Marcus Häggbom, Morten Karlsmark, Joakim Andén
MEDUSA: Medical Data Under Shadow Attacks via Hybrid Model Inversion
Asfandyar Azhar, Paul Thielen, Curtis Langlotz
Memorization in Attention-only Transformers
Léo Dana, Muni Sreenivas Pydi, Yann Chevaleyre
Memory-Efficient Optimization with Factorized Hamiltonian Descent
Son Nguyen, Lizhang Chen, Bo Liu et al.
Meta-learning from Heterogeneous Tensors for Few-shot Tensor Completion
Tomoharu Iwata, Atsutoshi Kumagai
Meta-learning Task-specific Regularization Weights for Few-shot Linear Regression
Tomoharu Iwata, Atsutoshi Kumagai, Yasutoshi Ida
M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Scheduling
Xudong Sun, Nutan Chen, Alexej Gossmann et al.
Microfoundation inference for strategic prediction
Daniele Bracale, Subha Maity, Felipe Maia Polo et al.
MING: A Functional Approach to Learning Molecular Generative Models
Van Khoa Nguyen, Maciej Falkiewicz, Giangiacomo Mercatali et al.
Minimum Empirical Divergence for Sub-Gaussian Linear Bandits
Kapilan Balagopalan, Kwang-Sung Jun
Mixed-Feature Logistic Regression Robust to Distribution Shifts
Qingshi Sun, Nathan Justin, Andres Gomez et al.