Papers
Approximate Leave-one-out Cross Validation for Regression with $\ell_1$ Regularizers
Arnab Auddy, Haolin Zou, Kamiar Rahnamarad et al.
A Primal-Dual-Critic Algorithm for Offline Constrained Reinforcement Learning
Kihyuk Hong, Yuhang Li, Ambuj Tewari
A Scalable Algorithm for Individually Fair k-Means Clustering
MohammadHossein Bateni, Vincent Cohen-Addad, Alessandro Epasto et al.
AsGrad: A Sharp Unified Analysis of Asynchronous-SGD Algorithms
Rustem Islamov, Mher Safaryan, Dan Alistarh
A Specialized Semismooth Newton Method for Kernel-Based Optimal Transport
Tianyi Lin, Marco Cuturi, Michael Jordan
Asymptotic Characterisation of the Performance of Robust Linear Regression in the Presence of Outliers
Matteo Vilucchio, Emanuele Troiani, Vittorio Erba et al.
Asynchronous Randomized Trace Estimation
Vasileios Kalantzis, Shashanka Ubaru, Chai Wah Wu et al.
Asynchronous SGD on Graphs: a Unified Framework for Asynchronous Decentralized and Federated Optimization
Mathieu Even, Anastasia Koloskova, Laurent Massoulie
Auditing Fairness under Unobserved Confounding
Yewon Byun, Dylan Sam, Michael Oberst et al.
A Unified Framework for Discovering Discrete Symmetries
Pavan Karjol, Rohan Kashyap, Aditya Gopalan et al.
A Unifying Variational Framework for Gaussian Process Motion Planning
Lucas C. Cosier, Rares Iordan, Sicelukwanda N. T. Zwane et al.
autoMALA: Locally adaptive Metropolis-adjusted Langevin algorithm
Miguel Biron-Lattes, Nikola Surjanovic, Saifuddin Syed et al.
Autoregressive Bandits
Francesco Bacchiocchi, Gianmarco Genalti, Davide Maran et al.
A White-Box False Positive Adversarial Attack Method on Contrastive Loss Based Offline Handwritten Signature Verification Models
Zhongliang Guo, Weiye Li, Yifei Qian et al.
Backward Filtering Forward Deciding in Linear Non-Gaussian State Space Models
Yun-Peng Li, Hans-Andrea Loeliger
Bandit Pareto Set Identification: the Fixed Budget Setting
Cyrille Kone, Emilie Kaufmann, Laura Richert
Bayesian Online Learning for Consensus Prediction
Samuel Showalter, Alex J Boyd, Padhraic Smyth et al.
Bayesian Semi-structured Subspace Inference
Daniel Dold, David Ruegamer, Beate Sick et al.
Benchmarking Observational Studies with Experimental Data under Right-Censoring
Ilker Demirel, Edward De Brouwer, Zeshan M Hussain et al.
Benefits of Non-Linear Scale Parameterizations in Black Box Variational Inference through Smoothness Results and Gradient Variance Bounds
Alexandra Maria Hotti, Lennart Alexander Van der Goten, Jens Lagergren
Best Arm Identification with Resource Constraints
Zitian Li, Wang Chi Cheung
Best-of-Both-Worlds Algorithms for Linear Contextual Bandits
Yuko Kuroki, Alberto Rumi, Taira Tsuchiya et al.
Better Batch for Deep Probabilistic Time Series Forecasting
Zhihao Zheng, Seongjin Choi, Lijun Sun
Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective
Yue Xing, Xiaofeng Lin, Qifan Song et al.
Beyond Bayesian Model Averaging over Paths in Probabilistic Programs with Stochastic Support
Tim Reichelt, Luke Ong, Tom Rainforth