Papers
4,122 papers found
A Momentumized, Adaptive, Dual Averaged Gradient Method
Aaron Defazio, Samy Jelassi
Analytically Tractable Hidden-States Inference in Bayesian Neural Networks
Luong-Ha Nguyen, James-A. Goulet
An Efficient Sampling Algorithm for Non-smooth Composite Potentials
Wenlong Mou, Nicolas Flammarion, Martin J. Wainwright et al.
An Error Analysis of Generative Adversarial Networks for Learning Distributions
Jian Huang, Yuling Jiao, Zhen Li et al.
An Improper Estimator with Optimal Excess Risk in Misspecified Density Estimation and Logistic Regression
Jaouad Mourtada, Stéphane Gaïffas
A Nonconvex Framework for Structured Dynamic Covariance Recovery
Katherine Tsai, Mladen Kolar, Oluwasanmi Koyejo
An Optimization-centric View on Bayes' Rule: Reviewing and Generalizing Variational Inference
Jeremias Knoblauch, Jack Jewson, Theodoros Damoulas
A Perturbation-Based Kernel Approximation Framework
Roy Mitz, Yoel Shkolnisky
Approximate Bayesian Computation via Classification
Yuexi Wang, Tetsuya Kaji, Veronika Rockova
Approximate Information State for Approximate Planning and Reinforcement Learning in Partially Observed Systems
Jayakumar Subramanian, Amit Sinha, Raihan Seraj et al.
Approximation and Optimization Theory for Linear Continuous-Time Recurrent Neural Networks
Zhong Li, Jiequn Han, Weinan E et al.
A Primer for Neural Arithmetic Logic Modules
Bhumika Mistry, Katayoun Farrahi, Jonathon Hare
A Random Matrix Perspective on Random Tensors
José Henrique de M. Goulart, Romain Couillet, Pierre Comon
Are All Layers Created Equal?
Chiyuan Zhang, Samy Bengio, Yoram Singer
A Statistical Approach for Optimal Topic Model Identification
Craig M. Lewis, Francesco Grossetti
A Stochastic Bundle Method for Interpolation
Alasdair Paren, Leonard Berrada, Rudra P. K. Poudel et al.
Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms
Ping Ma, Yongkai Chen, Xinlian Zhang et al.
Asymptotic Study of Stochastic Adaptive Algorithms in Non-convex Landscape
Sébastien Gadat, Ioana Gavra
Attraction-Repulsion Spectrum in Neighbor Embeddings
Jan Niklas Böhm, Philipp Berens, Dmitry Kobak
A Unified Statistical Learning Model for Rankings and Scores with Application to Grant Panel Review
Michael Pearce, Elena A. Erosheva
A Unifying Framework for Variance-Reduced Algorithms for Findings Zeroes of Monotone operators
Xun Zhang, William B. Haskell, Zhisheng Ye