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Doubly Semi-Implicit Variational Inference
Dmitry Molchanov, Valery Kharitonov, ... (+2 more)
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7 years ago |
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DUAL-LOCO: Distributing Statistical Estimation Using Random Projections
Christina Heinze, Brian McWilliams, Nicolai Meinshausen
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10 years ago |
| 203 |
An Optimization Approach to Learning Falling Rule Lists
Chaofan Chen, Cynthia Rudin
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8 years ago |
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On Connecting Stochastic Gradient MCMC and Differential Privacy
Bai Li, Changyou Chen, ... (+2 more)
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| 205 |
Dynamical Isometry is Achieved in Residual Networks in a Universal Way for any Activation Function
Wojciech Tarnowski, Piotr Warchoł, ... (+3 more)
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Confidence-based Graph Convolutional Networks for Semi-Supervised Learning
Shikhar Vashishth, Prateek Yadav, ... (+2 more)
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| 207 |
Why Non-myopic Bayesian Optimization is Promising and How Far Should We Look-ahead? A Study via Rollout
Xubo Yue, Raed Al Kontar
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Decentralized Multi-player Multi-armed Bandits with No Collision Information
Chengshuai Shi, Wei Xiong, ... (+2 more)
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| 209 |
Structured Robust Submodular Maximization: Offline and Online Algorithms
Alfredo Torrico, Mohit Singh, ... (+5 more)
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8 years ago |
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IHT dies hard: Provable accelerated Iterative Hard Thresholding
Rajiv Khanna, Anastasios Kyrillidis
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Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks
Jinming Xu, Ye Tian, ... (+2 more)
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Online Model Selection for Reinforcement Learning with Function Approximation
Jonathan N. Lee, Aldo Pacchiano, ... (+3 more)
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5 years ago |
| 213 |
On the Privacy Risks of Algorithmic Recourse
Martin Pawelczyk, Himabindu Lakkaraju, Seth Neel
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3 years ago |
| 214 |
Streaming Kernel Principal Component Analysis
Mina Ghashami, Daniel Perry, Jeff M. Phillips
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cs.DS
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10 years ago |
| 215 |
Local Group Invariant Representations via Orbit Embeddings
Anant Raj, Abhishek Kumar, ... (+3 more)
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9 years ago |
| 216 |
Multi-Attribute Bayesian Optimization With Interactive Preference Learning
Raul Astudillo, Peter I. Frazier
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6 years ago |
| 217 |
Global Convergence of Non-Convex Gradient Descent for Computing Matrix Squareroot
Prateek Jain, Chi Jin, ... (+2 more)
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10 years ago |
| 218 |
Bayesian Approaches to Distribution Regression
Ho Chung Leon Law, Danica J. Sutherland, ... (+2 more)
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Tensor Regression Meets Gaussian Processes
Rose Yu, Guangyu Li, Yan Liu
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8 years ago |
| 220 |
An Optimal Control Approach to Sequential Machine Teaching
Laurent Lessard, Xuezhou Zhang, Xiaojin Zhu
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7 years ago |
| 221 |
"Bring Your Own Greedy"+Max: Near-Optimal $1/2$-Approximations for Submodular Knapsack
Dmitrii Avdiukhin, Grigory Yaroslavtsev, Samson Zhou
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6 years ago |
| 222 |
Boosting Variational Inference: an Optimization Perspective
Francesco Locatello, Rajiv Khanna, ... (+2 more)
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8 years ago |
| 223 |
Spectral Algorithms for Computing Fair Support Vector Machines
Matt Olfat, Anil Aswani
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cs.LG
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8 years ago |
| 224 |
Kernel Exponential Family Estimation via Doubly Dual Embedding
Bo Dai, Hanjun Dai, ... (+4 more)
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Scalable Gaussian Process Variational Autoencoders
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5 years ago |
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Transforming Gaussian Processes With Normalizing Flows
Juan Maroñas, Oliver Hamelijnck, ... (+2 more)
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5 years ago |
| 227 |
Reconstructing Training Data from Model Gradient, Provably
Zihan Wang, Jason D. Lee, Qi Lei
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3 years ago |
| 228 |
Structured adaptive and random spinners for fast machine learning computations
Mariusz Bojarski, Anna Choromanska, ... (+7 more)
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9 years ago |
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Comparison Based Nearest Neighbor Search
Siavash Haghiri, Debarghya Ghoshdastidar, Ulrike von Luxburg
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9 years ago |
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Stochastic Multi-armed Bandits in Constant Space
David Liau, Eric Price, ... (+2 more)
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Variational Rejection Sampling
Aditya Grover, Ramki Gummadi, ... (+3 more)
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Risk-Averse Stochastic Convex Bandit
Adrian Rivera Cardoso, Huan Xu
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7 years ago |
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Hierarchical Clustering for Euclidean Data
Moses Charikar, Vaggos Chatziafratis, ... (+2 more)
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Momentum in Reinforcement Learning
Nino Vieillard, Bruno Scherrer, ... (+2 more)
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Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference
Maxime Vandegar, Michael Kagan, ... (+2 more)
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Offline Policy Selection under Uncertainty
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5 years ago |
| 237 |
On the Privacy Properties of GAN-generated Samples
Zinan Lin, Vyas Sekar, Giulia Fanti
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3 years ago |
| 238 |
Discovering Many Diverse Solutions with Bayesian Optimization
Natalie Maus, Kaiwen Wu, ... (+2 more)
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3 years ago |
| 239 |
Regression as Classification: Influence of Task Formulation on Neural Network Features
Lawrence Stewart, Francis Bach, ... (+2 more)
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3 years ago |
| 240 |
Projection-Free Bandit Convex Optimization
Lin Chen, Mingrui Zhang, Amin Karbasi
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8 years ago |
| 241 |
Optimal Noise-Adding Mechanism in Additive Differential Privacy
Quan Geng, Wei Ding, ... (+2 more)
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PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic Programming
Alexander K. Lew, Monica Agrawal, ... (+2 more)
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Robust Imitation Learning from Noisy Demonstrations
Voot Tangkaratt, Nontawat Charoenphakdee, Masashi Sugiyama
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Active Membership Inference Attack under Local Differential Privacy in Federated Learning
Truc Nguyen, Phung Lai, ... (+3 more)
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3 years ago |
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Particle Gibbs with Ancestor Sampling for Probabilistic Programs
Jan-Willem van de Meent, Hongseok Yang, ... (+2 more)
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11 years ago |
| 246 |
Integrals over Gaussians under Linear Domain Constraints
Alexandra Gessner, Oindrila Kanjilal, Philipp Hennig
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6 years ago |
| 247 |
Homeomorphic-Invariance of EM: Non-Asymptotic Convergence in KL Divergence for Exponential Families via Mirror Descent
Frederik Kunstner, Raunak Kumar, Mark Schmidt
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Can 5th Generation Local Training Methods Support Client Sampling? Yes!
Michał Grudzień, Grigory Malinovsky, Peter Richtárik
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3 years ago |
| 249 |
Tracking the gradients using the Hessian: A new look at variance reducing stochastic methods
Robert M. Gower, Nicolas Le Roux, Francis Bach
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math.OC
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8 years ago |
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The Binary Space Partitioning-Tree Process
Xuhui Fan, Bin Li, Scott Anthony Sisson
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stat.ML
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7 years ago |