conftrace_

JMLR 2024

422 papers

On the Generalization of Stochastic Gradient Descent with Momentum

Ali Ramezani-Kebrya, Kimon Antonakopoulos, Volkan Cevher, Ashish Khisti, Ben Liang

Pursuit of the Cluster Structure of Network Lasso: Recovery Condition and Non-convex Extension

Shotaro Yagishita, Jun-ya Gotoh

Iterate Averaging in the Quest for Best Test Error

Diego Granziol, Nicholas P. Baskerville, Xingchen Wan, Samuel Albanie, Stephen Roberts

Nonparametric Inference under B-bits Quantization

Kexuan Li, Ruiqi Liu, Ganggang Xu, Zuofeng Shang

Black Box Variational Inference with a Deterministic Objective: Faster, More Accurate, and Even More Black Box

Ryan Giordano, Martin Ingram, Tamara Broderick

On Sufficient Graphical Models

Bing Li, Kyongwon Kim

Localized Debiased Machine Learning: Efficient Inference on Quantile Treatment Effects and Beyond

Nathan Kallus, Xiaojie Mao, Masatoshi Uehara

On the Effect of Initialization: The Scaling Path of 2-Layer Neural Networks

Sebastian Neumayer, Lénaïc Chizat, Michael Unser

Improving physics-informed neural networks with meta-learned optimization

Alex Bihlo

A Comparison of Continuous-Time Approximations to Stochastic Gradient Descent

Stefan Ankirchner, Stefan Perko

Critically Assessing the State of the Art in Neural Network Verification

Matthias König, Annelot W. Bosman, Holger H. Hoos, Jan N. van Rijn

Estimating the Minimizer and the Minimum Value of a Regression Function under Passive Design

Arya Akhavan, Davit Gogolashvili, Alexandre B. Tsybakov

Modeling Random Networks with Heterogeneous Reciprocity

Daniel Cirkovic, Tiandong Wang

Exploration, Exploitation, and Engagement in Multi-Armed Bandits with Abandonment

Zixian Yang, Xin Liu, Lei Ying

On Efficient and Scalable Computation of the Nonparametric Maximum Likelihood Estimator in Mixture Models

Yangjing Zhang, Ying Cui, Bodhisattva Sen, Kim-Chuan Toh

Decorrelated Variable Importance

Isabella Verdinelli, Larry Wasserman

Model-Free Representation Learning and Exploration in Low-Rank MDPs

Aditya Modi, Jinglin Chen, Akshay Krishnamurthy, Nan Jiang, Alekh Agarwal

Seeded Graph Matching for the Correlated Gaussian Wigner Model via the Projected Power Method

Ernesto Araya, Guillaume Braun, Hemant Tyagi

Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization

Shicong Cen, Yuting Wei, Yuejie Chi

Power of knockoff: The impact of ranking algorithm, augmented design, and symmetric statistic

Zheng Tracy Ke, Jun S. Liu, Yucong Ma

Lower Complexity Bounds of Finite-Sum Optimization Problems: The Results and Construction

Yuze Han, Guangzeng Xie, Zhihua Zhang

On Truthing Issues in Supervised Classification

Jonathan K. Su