Papers
572 papers found
Approximate Inference Using DC Programming For Collective Graphical Models
Thien Nguyen, Akshat Kumar, Hoong Chuin Lau et al.
Quantifying the accuracy of approximate diffusions and Markov chains
Jonathan Huggins, James Zou
Co-Occurring Directions Sketching for Approximate Matrix Multiply
Youssef Mroueh, Etienne Marcheret, Vaibahava Goel
Information Projection and Approximate Inference for Structured Sparse Variables
Rajiv Khanna, Joydeep Ghosh, Rusell Poldrack et al.
Gauged Mini-Bucket Elimination for Approximate Inference
Sungsoo Ahn, Michael Chertkov, Jinwoo Shin et al.
Approximate Ranking from Pairwise Comparisons
Reinhard Heckel, Max Simchowitz, Kannan Ramchandran et al.
Optimality of Approximate Inference Algorithms on Stable Instances
Hunter Lang, David Sontag, Aravindan Vijayaraghavan
Adaptive balancing of gradient and update computation times using global geometry and approximate subproblems
Sai Praneeth Reddy Karimireddy, Sebastian Stich, Martin Jaggi
Adaptive Estimation for Approximate $k$-Nearest-Neighbor Computations
Daniel LeJeune, Reinhard Heckel, Richard Baraniuk
Tight Analysis of Privacy and Utility Tradeoff in Approximate Differential Privacy
Quan Geng, Wei Ding, Ruiqi Guo et al.
Uncertainty in Neural Networks: Approximately Bayesian Ensembling
Tim Pearce, Felix Leibfried, Alexandra Brintrup
Approximate Inference in Discrete Distributions with Monte Carlo Tree Search and Value Functions
Lars Buesing, Nicolas Heess, Theophane Weber
Approximate Cross-Validation in High Dimensions with Guarantees
William Stephenson, Tamara Broderick
Approximate Inference with Wasserstein Gradient Flows
Charlie Frogner, Tomaso Poggio
An approximate KLD based experimental design for models with intractable likelihoods
Ziqiao Ao, Jinglai Li
Validation of Approximate Likelihood and Emulator Models for Computationally Intensive Simulations
Niccolo Dalmasso, Ann Lee, Rafael Izbicki et al.
Approximate Cross-validation: Guarantees for Model Assessment and Selection
Ashia Wilson, Maximilian Kasy, Lester Mackey
Approximate Message Passing with Spectral Initialization for Generalized Linear Models
Marco Mondelli, Ramji Venkataramanan
Adaptive Approximate Policy Iteration
Botao Hao, Nevena Lazic, Yasin Abbasi-Yadkori et al.
Linear Regression Games: Convergence Guarantees to Approximate Out-of-Distribution Solutions
Kartik Ahuja, Karthikeyan Shanmugam, Amit Dhurandhar
γ-ABC: Outlier-Robust Approximate Bayesian Computation Based on a Robust Divergence Estimator
Masahiro Fujisawa, Takeshi Teshima, Issei Sato et al.
Approximate Data Deletion from Machine Learning Models
Zachary Izzo, Mary Anne Smart, Kamalika Chaudhuri et al.
Hierarchical Clustering in General Metric Spaces using Approximate Nearest Neighbors
Benjamin Moseley, Sergei Vassilvtiskii, Yuyan Wang