Papers
Almost-Matching-Exactly for Treatment Effect Estimation under Network Interference
Usaid Awan, Marco Morucci, Vittorio Orlandi et al.
A Locally Adaptive Bayesian Cubature Method
Matthew Fisher, Chris Oates, Catherine Powell et al.
Alternating Minimization Converges Super-Linearly for Mixed Linear Regression
Avishek Ghosh, Ramchandran Kannan
A Lyapunov analysis for accelerated gradient methods: from deterministic to stochastic case
Maxime Laborde, Adam Oberman
AMAGOLD: Amortized Metropolis Adjustment for Efficient Stochastic Gradient MCMC
Ruqi Zhang, A. Feder Cooper, Christopher De Sa
Amortized Inference of Variational Bounds for Learning Noisy-OR
Yiming Yan, Melissa Ailem, Fei Sha
A Multiclass Classification Approach to Label Ranking
Robin Vogel, Stéphan Clémen\con
An approximate KLD based experimental design for models with intractable likelihoods
Ziqiao Ao, Jinglai Li
An Asymptotic Rate for the LASSO Loss
Cynthia Rush
An Empirical Study of Stochastic Gradient Descent with Structured Covariance Noise
Yeming Wen, Kevin Luk, Maxime Gazeau et al.
A nonasymptotic law of iterated logarithm for general M-estimators
Nicolas Schreuder, Victor-Emmanuel Brunel, Arnak Dalalyan
A Nonparametric Off-Policy Policy Gradient
Samuele Tosatto, Joao Carvalho, Hany Abdulsamad et al.
An Optimal Algorithm for Adversarial Bandits with Arbitrary Delays
Julian Zimmert, Yevgeny Seldin
A Novel Confidence-Based Algorithm for Structured Bandits
Andrea Tirinzoni, Alessandro Lazaric, Marcello Restelli
AP-Perf: Incorporating Generic Performance Metrics in Differentiable Learning
Rizal Fathony, Zico Kolter
Approximate Cross-validation: Guarantees for Model Assessment and Selection
Ashia Wilson, Maximilian Kasy, Lester Mackey
Approximate Cross-Validation in High Dimensions with Guarantees
William Stephenson, Tamara Broderick
Approximate Inference in Discrete Distributions with Monte Carlo Tree Search and Value Functions
Lars Buesing, Nicolas Heess, Theophane Weber
Approximate Inference with Wasserstein Gradient Flows
Charlie Frogner, Tomaso Poggio
A Practical Algorithm for Multiplayer Bandits when Arm Means Vary Among Players
Abbas Mehrabian, Etienne Boursier, Emilie Kaufmann et al.
A Primal-Dual Solver for Large-Scale Tracking-by-Assignment
Stefan Haller, Mangal Prakash, Lisa Hutschenreiter et al.
A principled approach for generating adversarial images under non-smooth dissimilarity metrics
Aram-Alexandre Pooladian, Chris Finlay, Tim Hoheisel et al.
A PTAS for the Bayesian Thresholding Bandit Problem
Jian Peng, Yue Qin, Yadi Wei et al.