| 51 |
Diverse Neural Network Learns True Target Functions
Bo Xie, Yingyu Liang, Le Song
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cs.LG
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146 |
9 years ago |
| 52 |
Inference Compilation and Universal Probabilistic Programming
Tuan Anh Le, Atilim Gunes Baydin, Frank Wood
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cs.AI
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145 |
9 years ago |
| 53 |
Frequentist Regret Bounds for Randomized Least-Squares Value Iteration
Andrea Zanette, David Brandfonbrener, ... (+3 more)
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cs.LG
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143 |
6 years ago |
| 54 |
Sample Complexity of Reinforcement Learning using Linearly Combined Model Ensembles
Aditya Modi, Nan Jiang, ... (+2 more)
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cs.LG
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140 |
6 years ago |
| 55 |
Phase Retrieval Meets Statistical Learning Theory: A Flexible Convex Relaxation
Sohail Bahmani, Justin Romberg
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cs.IT
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127 |
9 years ago |
| 56 |
Stochastic Zeroth-order Optimization in High Dimensions
Yining Wang, Simon Du, ... (+2 more)
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stat.ML
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124 |
8 years ago |
| 57 |
Metrics for Deep Generative Models
Nutan Chen, Alexej Klushyn, ... (+4 more)
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stat.ML
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122 |
8 years ago |
| 58 |
Adaptive ADMM with Spectral Penalty Parameter Selection
Zheng Xu, Mario A. T. Figueiredo, Tom Goldstein
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cs.LG
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121 |
9 years ago |
| 59 |
Local SGD: Unified Theory and New Efficient Methods
Eduard Gorbunov, Filip Hanzely, Peter Richtárik
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cs.LG
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120 |
5 years ago |
| 60 |
Resampled Priors for Variational Autoencoders
Matthias Bauer, Andriy Mnih
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stat.ML
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120 |
7 years ago |
| 61 |
Scalable Learning of Non-Decomposable Objectives
Elad ET. Eban, Mariano Schain, ... (+4 more)
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stat.ML
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116 |
9 years ago |
| 62 |
Quantization based Fast Inner Product Search
Ruiqi Guo, Sanjiv Kumar, ... (+2 more)
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cs.AI
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116 |
10 years ago |
| 63 |
Federated Heavy Hitters Discovery with Differential Privacy
Wennan Zhu, Peter Kairouz, ... (+3 more)
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cs.CR
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115 |
7 years ago |
| 64 |
Time-Varying Gaussian Process Bandit Optimization
Ilija Bogunovic, Jonathan Scarlett, Volkan Cevher
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stat.ML
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115 |
10 years ago |
| 65 |
A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes
Jialin Song, Yuxin Chen, Yisong Yue
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cs.LG
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114 |
7 years ago |
| 66 |
Interpreting Black Box Predictions using Fisher Kernels
Rajiv Khanna, Been Kim, ... (+2 more)
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cs.LG
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113 |
7 years ago |
| 67 |
The End of Optimism? An Asymptotic Analysis of Finite-Armed Linear Bandits
Tor Lattimore, Csaba Szepesvari
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Ghosted
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stat.ML
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111 |
9 years ago |
| 68 |
Interval Estimation of Individual-Level Causal Effects Under Unobserved Confounding
Nathan Kallus, Xiaojie Mao, Angela Zhou
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stat.ML
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106 |
7 years ago |
| 69 |
ASAGA: Asynchronous Parallel SAGA
Rémi Leblond, Fabian Pedregosa, Simon Lacoste-Julien
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math.OC
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106 |
9 years ago |
| 70 |
Shapley Flow: A Graph-based Approach to Interpreting Model Predictions
Jiaxuan Wang, Jenna Wiens, Scott Lundberg
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cs.LG
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105 |
5 years ago |
| 71 |
A Continuous-Time View of Early Stopping for Least Squares
Alnur Ali, J. Zico Kolter, Ryan J. Tibshirani
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stat.ML
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105 |
7 years ago |
| 72 |
A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix
Thang Doan, Mehdi Bennani, ... (+3 more)
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cs.LG
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102 |
5 years ago |
| 73 |
Performative Prediction in a Stateful World
Gavin Brown, Shlomi Hod, Iden Kalemaj
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cs.LG
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101 |
5 years ago |
| 74 |
Less than a Single Pass: Stochastically Controlled Stochastic Gradient Method
Lihua Lei, Michael I. Jordan
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math.OC
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101 |
9 years ago |
| 75 |
Robust Locally-Linear Controllable Embedding
Ershad Banijamali, Rui Shu, ... (+3 more)
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cs.LG
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99 |
8 years ago |
| 76 |
Accelerated Stochastic Power Iteration
Christopher De Sa, Bryan He, ... (+3 more)
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math.OC
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99 |
8 years ago |
| 77 |
Online Continuous Submodular Maximization
Lin Chen, Hamed Hassani, Amin Karbasi
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stat.ML
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98 |
8 years ago |
| 78 |
Matérn Gaussian Processes on Graphs
Viacheslav Borovitskiy, Iskander Azangulov, ... (+4 more)
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stat.ML
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97 |
5 years ago |
| 79 |
Scalable Greedy Feature Selection via Weak Submodularity
Rajiv Khanna, Ethan Elenberg, ... (+3 more)
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stat.ML
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96 |
9 years ago |
| 80 |
Why Adaptively Collected Data Have Negative Bias and How to Correct for It
Xinkun Nie, Xiaoying Tian, ... (+2 more)
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stat.ML
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94 |
8 years ago |
| 81 |
Bridging the Gap between Stochastic Gradient MCMC and Stochastic Optimization
Changyou Chen, David Carlson, ... (+3 more)
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stat.ML
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93 |
10 years ago |
| 82 |
Improved Strongly Adaptive Online Learning using Coin Betting
Kwang-Sung Jun, Francesco Orabona, ... (+2 more)
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stat.ML
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92 |
9 years ago |
| 83 |
Zeroth-Order Online Alternating Direction Method of Multipliers: Convergence Analysis and Applications
Sijia Liu, Jie Chen, ... (+2 more)
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stat.ML
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91 |
8 years ago |
| 84 |
On the challenges of learning with inference networks on sparse, high-dimensional data
Rahul G. Krishnan, Dawen Liang, Matthew Hoffman
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stat.ML
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89 |
8 years ago |
| 85 |
Learning linear structural equation models in polynomial time and sample complexity
Asish Ghoshal, Jean Honorio
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cs.LG
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89 |
8 years ago |
| 86 |
Constrained 1-Spectral Clustering
Syama Sundar Rangapuram, Matthias Hein
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👻
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stat.ML
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88 |
10 years ago |
| 87 |
Tensor Factorization via Matrix Factorization
Volodymyr Kuleshov, Arun Tejasvi Chaganty, Percy Liang
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cs.LG
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88 |
11 years ago |
| 88 |
Tensor vs Matrix Methods: Robust Tensor Decomposition under Block Sparse Perturbations
Animashree Anandkumar, Prateek Jain, ... (+2 more)
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cs.LG
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85 |
10 years ago |
| 89 |
Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs
Valentina Zantedeschi, Aurélien Bellet, Marc Tommasi
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cs.LG
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84 |
7 years ago |
| 90 |
Topic Compositional Neural Language Model
Wenlin Wang, Zhe Gan, ... (+6 more)
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cs.LG
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84 |
8 years ago |
| 91 |
A Generic Approach for Escaping Saddle points
Sashank J Reddi, Manzil Zaheer, ... (+5 more)
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cs.LG
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83 |
8 years ago |
| 92 |
Non-Uniform Stochastic Average Gradient Method for Training Conditional Random Fields
Mark Schmidt, Reza Babanezhad, ... (+4 more)
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stat.ML
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83 |
10 years ago |
| 93 |
Sequential Kernel Herding: Frank-Wolfe Optimization for Particle Filtering
Simon Lacoste-Julien, Fredrik Lindsten, Francis Bach
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Ghosted
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stat.ML
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83 |
11 years ago |
| 94 |
Conditional Gradient Method for Stochastic Submodular Maximization: Closing the Gap
Aryan Mokhtari, Hamed Hassani, Amin Karbasi
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math.OC
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82 |
8 years ago |
| 95 |
What made you do this? Understanding black-box decisions with sufficient input subsets
Brandon Carter, Jonas Mueller, ... (+2 more)
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cs.LG
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81 |
7 years ago |
| 96 |
Strong Coresets for Hard and Soft Bregman Clustering with Applications to Exponential Family Mixtures
Mario Lucic, Olivier Bachem, Andreas Krause
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Ghosted
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stat.ML
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81 |
10 years ago |
| 97 |
Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades
Mehrdad Farajtabar, Manuel Gomez-Rodriguez, ... (+4 more)
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cs.SI
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81 |
11 years ago |
| 98 |
A Linearly Convergent Algorithm for Decentralized Optimization: Sending Less Bits for Free!
Dmitry Kovalev, Anastasia Koloskova, ... (+3 more)
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math.OC
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80 |
5 years ago |
| 99 |
Smoothed Online Optimization for Regression and Control
Gautam Goel, Adam Wierman
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👻
Ghosted
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cs.LG
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80 |
7 years ago |
| 100 |
Optimization as Estimation with Gaussian Processes in Bandit Settings
Zi Wang, Bolei Zhou, Stefanie Jegelka
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👻
Ghosted
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stat.ML
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80 |
10 years ago |