| 151 |
Efficient Bayesian Experimental Design for Implicit Models
Steven Kleinegesse, Michael Gutmann
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stat.ML
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7 years ago |
| 152 |
Random Warping Series: A Random Features Method for Time-Series Embedding
Lingfei Wu, Ian En-Hsu Yen, ... (+4 more)
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cs.LG
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7 years ago |
| 153 |
Purifying Interaction Effects with the Functional ANOVA: An Efficient Algorithm for Recovering Identifiable Additive Models
Benjamin Lengerich, Sarah Tan, ... (+3 more)
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6 years ago |
| 154 |
Variational Integrator Networks for Physically Structured Embeddings
Steindor Saemundsson, Alexander Terenin, ... (+2 more)
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| 155 |
Uncertainty Autoencoders: Learning Compressed Representations via Variational Information Maximization
Aditya Grover, Stefano Ermon
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| 156 |
Improving the Stability of the Knockoff Procedure: Multiple Simultaneous Knockoffs and Entropy Maximization
Jaime Roquero Gimenez, James Zou
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| 157 |
Scaling up the Automatic Statistician: Scalable Structure Discovery using Gaussian Processes
Hyunjik Kim, Yee Whye Teh
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8 years ago |
| 158 |
Combinatorial Semi-Bandits with Knapsacks
Karthik Abinav Sankararaman, Aleksandrs Slivkins
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cs.LG
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54 |
8 years ago |
| 159 |
Human Interaction with Recommendation Systems
Sven Schmit, Carlos Riquelme
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stat.ML
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9 years ago |
| 160 |
Fast Threshold Tests for Detecting Discrimination
Emma Pierson, Sam Corbett-Davies, Sharad Goel
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stat.ML
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9 years ago |
| 161 |
Localized Lasso for High-Dimensional Regression
Makoto Yamada, Koh Takeuchi, ... (+3 more)
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10 years ago |
| 162 |
Sample-Efficient Imitation Learning via Generative Adversarial Nets
Lionel Blondé, Alexandros Kalousis
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cs.LG
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52 |
7 years ago |
| 163 |
A Unified Optimization View on Generalized Matching Pursuit and Frank-Wolfe
Francesco Locatello, Rajiv Khanna, ... (+2 more)
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cs.LG
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9 years ago |
| 164 |
Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles
Rajeev Verma, Daniel Barrejón, Eric Nalisnick
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stat.ML
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3 years ago |
| 165 |
All of the Fairness for Edge Prediction with Optimal Transport
Charlotte Laclau, Ievgen Redko, ... (+2 more)
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cs.LG
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5 years ago |
| 166 |
Fisher Information and Natural Gradient Learning of Random Deep Networks
Shun-ichi Amari, Ryo Karakida, Masafumi Oizumi
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cs.LG
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51 |
7 years ago |
| 167 |
Sketching Meets Random Projection in the Dual: A Provable Recovery Algorithm for Big and High-dimensional Data
Jialei Wang, Jason D. Lee, ... (+3 more)
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cs.LG
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9 years ago |
| 168 |
Bayesian optimisation under uncertain inputs
Rafael Oliveira, Lionel Ott, Fabio Ramos
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cs.LG
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50 |
7 years ago |
| 169 |
Group invariance principles for causal generative models
Michel Besserve, Naji Shajarisales, ... (+2 more)
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9 years ago |
| 170 |
Unsupervised Ensemble Learning with Dependent Classifiers
Ariel Jaffe, Ethan Fetaya, ... (+3 more)
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10 years ago |
| 171 |
Locally Private Mean Estimation: Z-test and Tight Confidence Intervals
Marco Gaboardi, Ryan Rogers, Or Sheffet
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cs.DS
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49 |
7 years ago |
| 172 |
Large Scale Distributed Semi-Supervised Learning Using Streaming Approximation
Sujith Ravi, Qiming Diao
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cs.LG
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10 years ago |
| 173 |
Random Forest for the Contextual Bandit Problem - extended version
Raphaël Féraud, Robin Allesiardo, ... (+2 more)
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11 years ago |
| 174 |
Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion
Haotian Ju, Dongyue Li, ... (+2 more)
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cs.LG
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3 years ago |
| 175 |
Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders
Andrew Bennett, Nathan Kallus, ... (+2 more)
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cs.LG
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5 years ago |
| 176 |
An Analysis of LIME for Text Data
Dina Mardaoui, Damien Garreau
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stat.ML
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48 |
5 years ago |
| 177 |
Elimination of All Bad Local Minima in Deep Learning
Kenji Kawaguchi, Leslie Pack Kaelbling
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cs.LG
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48 |
7 years ago |
| 178 |
Diffusion Generative Models in Infinite Dimensions
Gavin Kerrigan, Justin Ley, Padhraic Smyth
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cs.LG
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48 |
3 years ago |
| 179 |
Ordering-Based Causal Structure Learning in the Presence of Latent Variables
Daniel Irving Bernstein, Basil Saeed, ... (+2 more)
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6 years ago |
| 180 |
Stochastic Particle-Optimization Sampling and the Non-Asymptotic Convergence Theory
Jianyi Zhang, Ruiyi Zhang, ... (+2 more)
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7 years ago |
| 181 |
Approximate Message Passing with Spectral Initialization for Generalized Linear Models
Marco Mondelli, Ramji Venkataramanan
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stat.ML
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46 |
5 years ago |
| 182 |
Linear Queries Estimation with Local Differential Privacy
Raef Bassily
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cs.LG
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46 |
7 years ago |
| 183 |
Accelerated Decentralized Optimization with Local Updates for Smooth and Strongly Convex Objectives
Hadrien Hendrikx, Francis Bach, Laurent Massoulié
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math.OC
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7 years ago |
| 184 |
Robust Maximization of Non-Submodular Objectives
Ilija Bogunovic, Junyao Zhao, Volkan Cevher
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stat.ML
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46 |
8 years ago |
| 185 |
Approximate Ranking from Pairwise Comparisons
Reinhard Heckel, Max Simchowitz, ... (+2 more)
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cs.LG
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8 years ago |
| 186 |
Privacy Amplification by Decentralization
Edwige Cyffers, Aurélien Bellet
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cs.LG
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5 years ago |
| 187 |
Contrasting Exploration in Parameter and Action Space: A Zeroth-Order Optimization Perspective
Anirudh Vemula, Wen Sun, J. Andrew Bagnell
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cs.LG
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7 years ago |
| 188 |
Towards Gradient Free and Projection Free Stochastic Optimization
Anit Kumar Sahu, Manzil Zaheer, Soummya Kar
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math.OC
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7 years ago |
| 189 |
Budgeted and Non-budgeted Causal Bandits
Vineet Nair, Vishakha Patil, Gaurav Sinha
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5 years ago |
| 190 |
Implicit Kernel Learning
Chun-Liang Li, Wei-Cheng Chang, ... (+3 more)
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stat.ML
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7 years ago |
| 191 |
Exploration--Exploitation in MDPs with Options
Ronan Fruit, Alessandro Lazaric
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cs.LG
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44 |
9 years ago |
| 192 |
Online (and Offline) Robust PCA: Novel Algorithms and Performance Guarantees
Jinchun Zhan, Brian Lois, Namrata Vaswani
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cs.IT
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44 |
10 years ago |
| 193 |
A Deep Generative Deconvolutional Image Model
Yunchen Pu, Xin Yuan, ... (+3 more)
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cs.CV
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10 years ago |
| 194 |
Scalable MCMC for Mixed Membership Stochastic Blockmodels
Wenzhe Li, Sungjin Ahn, Max Welling
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cs.LG
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44 |
10 years ago |
| 195 |
Logistic Q-Learning
Joan Bas-Serrano, Sebastian Curi, ... (+2 more)
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5 years ago |
| 196 |
Deep learning with differential Gaussian process flows
Pashupati Hegde, Markus Heinonen, ... (+2 more)
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7 years ago |
| 197 |
Fenchel Lifted Networks: A Lagrange Relaxation of Neural Network Training
Fangda Gu, Armin Askari, Laurent El Ghaoui
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cs.LG
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42 |
7 years ago |
| 198 |
Dropout as a Low-Rank Regularizer for Matrix Factorization
Jacopo Cavazza, Pietro Morerio, ... (+4 more)
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cs.LG
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8 years ago |
| 199 |
Faster Coordinate Descent via Adaptive Importance Sampling
Dmytro Perekrestenko, Volkan Cevher, Martin Jaggi
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cs.LG
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42 |
9 years ago |
| 200 |
Mixture-of-Linear-Experts for Long-term Time Series Forecasting
Ronghao Ni, Zinan Lin, ... (+2 more)
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cs.LG
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2 years ago |