Papers
Adversarial Random Forests for Density Estimation and Generative Modeling
David S. Watson, Kristin Blesch, Jan Kapar et al.
Adversarial robustness of VAEs through the lens of local geometry
Asif Khan, Amos Storkey
A Faster Sampler for Discrete Determinantal Point Processes
Simon Barthelmé, Nicolas Tremblay, Pierre-Olivier Amblard
A Finite Sample Complexity Bound for Distributionally Robust Q-learning
Shengbo Wang, Nian Si, Jose Blanchet et al.
Agnostic PAC Learning of $k$-juntas Using $L_2$-Polynomial Regression
Mohsen Heidari, Wojciech Szpankowski
Algorithm-Dependent Bounds for Representation Learning of Multi-Source Domain Adaptation
Qi Chen, Mario Marchand
Algorithm for Constrained Markov Decision Process with Linear Convergence
Egor Gladin, Maksim Lavrik-Karmazin, Karina Zainullina et al.
Alternating Projected SGD for Equality-constrained Bilevel Optimization
Quan Xiao, Han Shen, Wotao Yin et al.
A Mini-Block Fisher Method for Deep Neural Networks
Achraf Bahamou, Donald Goldfarb, Yi Ren
A Multi-Task Gaussian Process Model for Inferring Time-Varying Treatment Effects in Panel Data
Yehu Chen, Annamaria Prati, Jacob Montgomery et al.
ANACONDA: An Improved Dynamic Regret Algorithm for Adaptive Non-Stationary Dueling Bandits
Thomas Kleine Buening, Aadirupa Saha
An Efficient and Continuous Voronoi Density Estimator
Giovanni Luca Marchetti, Vladislav Polianskii, Anastasiia Varava et al.
A New Causal Decomposition Paradigm towards Health Equity
Xinwei Sun, Xiangyu Zheng, Jim Weinstein
A New Modeling Framework for Continuous, Sequential Domains
Hailiang Dong, James Amato, Vibhav Gogate et al.
An Online and Unified Algorithm for Projection Matrix Vector Multiplication with Application to Empirical Risk Minimization
Lianke Qin, Zhao Song, Lichen Zhang et al.
An Optimization-based Algorithm for Non-stationary Kernel Bandits without Prior Knowledge
Kihyuk Hong, Yuhang Li, Ambuj Tewari
A Novel Stochastic Gradient Descent Algorithm for Learning Principal Subspaces
Charline Le Lan, Joshua Greaves, Jesse Farebrother et al.
An Unpooling Layer for Graph Generation
Yinglong Guo, Dongmian Zou, Gilad Lerman
Approximate Regions of Attraction in Learning with Decision-Dependent Distributions
Roy Dong, Heling Zhang, Lillian Ratliff
Approximating a RUM from Distributions on $k$-Slates
Flavio Chierichetti, Mirko Giacchini, Ravi Kumar et al.
A Sea of Words: An In-Depth Analysis of Anchors for Text Data
Gianluigi Lopardo, Frederic Precioso, Damien Garreau
ASkewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural Networks
Louis Leconte, Sholom Schechtman, Eric Moulines