Papers
Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features
Arno Solin, Manon Kok
Lagrange Coded Computing: Optimal Design for Resiliency, Security, and Privacy
Qian Yu, Songze Li, Netanel Raviv et al.
Large-Margin Classification in Hyperbolic Space
Hyunghoon Cho, Benjamin DeMeo, Jian Peng et al.
Learning Classifiers with Fenchel-Young Losses: Generalized Entropies, Margins, and Algorithms
Mathieu Blondel, Andre Martins, Vlad Niculae
Learning Controllable Fair Representations
Jiaming Song, Pratyusha Kalluri, Aditya Grover et al.
Learning Determinantal Point Processes by Corrective Negative Sampling
Zelda Mariet, Mike Gartrell, Suvrit Sra
Learning Influence-Receptivity Network Structure with Guarantee
Ming Yu, Varun Gupta, Mladen Kolar
Learning Invariant Representations with Kernel Warping
Yingyi Ma, Vignesh Ganapathiraman, Xinhua Zhang
Learning Mixtures of Smooth Product Distributions: Identifiability and Algorithm
Nikos Kargas, Nicholas D. Sidiropoulos
Learning Natural Programs from a Few Examples in Real-Time
Nagarajan Natarajan, Danny Simmons, Naren Datha et al.
Learning One-hidden-layer Neural Networks under General Input Distributions
Weihao Gao, Ashok V. Makkuva, Sewoong Oh et al.
Learning One-hidden-layer ReLU Networks via Gradient Descent
Xiao Zhang, Yaodong Yu, Lingxiao Wang et al.
Learning Rules-First Classifiers
Deborah Cohen, Amit Daniely, Amir Globerson et al.
Learning the Structure of a Nonstationary Vector Autoregression
Daniel Malinsky, Peter Spirtes
Learning to Optimize under Non-Stationarity
Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu
Learning Tree Structures from Noisy Data
Konstantinos E. Nikolakakis, Dionysios S. Kalogerias, Anand D. Sarwate
Least Squares Estimation of Weakly Convex Functions
Sun Sun, Yaoliang Yu
LF-PPL: A Low-Level First Order Probabilistic Programming Language for Non-Differentiable Models
Yuan Zhou, Bradley J. Gram-Hansen, Tobias Kohn et al.
Lifelong Optimization with Low Regret
Yi-Shan Wu, Po-An Wang, Chi-Jen Lu
Lifted Weight Learning of Markov Logic Networks Revisited
Ondrej Kuzelka, Vyacheslav Kungurtsev
Lifting high-dimensional non-linear models with Gaussian regressors
Christos Thrampoulidis, Ankit Singh Rawat
Locally Private Mean Estimation: $Z$-test and Tight Confidence Intervals
Marco Gaboardi, Ryan Rogers, Or Sheffet
Local Saddle Point Optimization: A Curvature Exploitation Approach
Leonard Adolphs, Hadi Daneshmand, Aurelien Lucchi et al.