| 351 |
Generalized Linear Models for Aggregated Data
Avradeep Bhowmik, Joydeep Ghosh, Oluwasanmi Koyejo
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stat.ML
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19 |
10 years ago |
| 352 |
Unwrapping ADMM: Efficient Distributed Computing via Transpose Reduction
Tom Goldstein, Gavin Taylor, ... (+2 more)
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cs.DC
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19 |
11 years ago |
| 353 |
Nearly optimal classification for semimetrics
Lee-Ad Gottlieb, Aryeh Kontorovich
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cs.LG
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19 |
11 years ago |
| 354 |
A White-Box False Positive Adversarial Attack Method on Contrastive Loss Based Offline Handwritten Signature Verification Models
Zhongliang Guo, Weiye Li, ... (+3 more)
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cs.CV
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19 |
2 years ago |
| 355 |
Product Manifold Learning
Sharon Zhang, Amit Moscovich, Amit Singer
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cs.LG
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18 |
5 years ago |
| 356 |
AP-Perf: Incorporating Generic Performance Metrics in Differentiable Learning
Rizal Fathony, J. Zico Kolter
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💀
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cs.LG
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18 |
6 years ago |
| 357 |
Prophets, Secretaries, and Maximizing the Probability of Choosing the Best
Hossein Esfandiari, MohammadTaghi HajiAghayi, ... (+2 more)
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cs.DS
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18 |
6 years ago |
| 358 |
Rk-means: Fast Clustering for Relational Data
Ryan Curtin, Ben Moseley, ... (+4 more)
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cs.LG
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18 |
6 years ago |
| 359 |
Online learning with feedback graphs and switching costs
Anshuka Rangi, Massimo Franceschetti
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cs.LG
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18 |
7 years ago |
| 360 |
Submodularity on Hypergraphs: From Sets to Sequences
Marko Mitrovic, Moran Feldman, ... (+2 more)
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cs.DS
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18 |
8 years ago |
| 361 |
One Scan 1-Bit Compressed Sensing
Ping Li
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stat.ME
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18 |
11 years ago |
| 362 |
Classifier Calibration with ROC-Regularized Isotonic Regression
Eugene Berta, Francis Bach, Michael Jordan
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cs.LG
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18 |
2 years ago |
| 363 |
SemlaFlow -- Efficient 3D Molecular Generation with Latent Attention and Equivariant Flow Matching
Ross Irwin, Alessandro Tibo, ... (+2 more)
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cs.LG
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17 |
2 years ago |
| 364 |
A General Algorithm for Solving Rank-one Matrix Sensing
Lianke Qin, Zhao Song, Ruizhe Zhang
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cs.DS
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17 |
3 years ago |
| 365 |
Asynchronous SGD on Graphs: a Unified Framework for Asynchronous Decentralized and Federated Optimization
Mathieu Even, Anastasia Koloskova, Laurent Massoulié
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math.OC
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17 |
2 years ago |
| 366 |
Foundations of Bayesian Learning from Synthetic Data
Harrison Wilde, Jack Jewson, ... (+2 more)
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cs.LG
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17 |
5 years ago |
| 367 |
Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models
Xiao Zhang, Jinghui Chen, ... (+2 more)
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🌅
Old Age
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cs.LG
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17 |
6 years ago |
| 368 |
Black Box Submodular Maximization: Discrete and Continuous Settings
Lin Chen, Mingrui Zhang, ... (+2 more)
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cs.LG
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17 |
7 years ago |
| 369 |
A Geometric Perspective on the Transferability of Adversarial Directions
Zachary Charles, Harrison Rosenberg, Dimitris Papailiopoulos
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cs.LG
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17 |
7 years ago |
| 370 |
Variational Noise-Contrastive Estimation
Benjamin Rhodes, Michael Gutmann
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stat.ML
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17 |
7 years ago |
| 371 |
Harmonizable mixture kernels with variational Fourier features
Zheyang Shen, Markus Heinonen, Samuel Kaski
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stat.ML
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17 |
7 years ago |
| 372 |
Combinatorial Penalties: Which structures are preserved by convex relaxations?
Marwa El Halabi, Francis Bach, Volkan Cevher
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👻
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cs.LG
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17 |
8 years ago |
| 373 |
Horde of Bandits using Gaussian Markov Random Fields
Sharan Vaswani, Mark Schmidt, Laks V. S. Lakshmanan
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👻
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cs.LG
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17 |
9 years ago |
| 374 |
Encrypted accelerated least squares regression
Pedro M. Esperança, Louis J. M. Aslett, Chris C. Holmes
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stat.ML
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17 |
9 years ago |
| 375 |
On Faster Convergence of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization
Xingguo Li, Tuo Zhao, ... (+3 more)
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math.OC
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17 |
10 years ago |
| 376 |
Near-Optimal Differentially Private Reinforcement Learning
Dan Qiao, Yu-Xiang Wang
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cs.LG
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17 |
3 years ago |
| 377 |
MMD-B-Fair: Learning Fair Representations with Statistical Testing
Namrata Deka, Danica J. Sutherland
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stat.ML
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17 |
3 years ago |
| 378 |
ProbNeRF: Uncertainty-Aware Inference of 3D Shapes from 2D Images
Matthew D. Hoffman, Tuan Anh Le, ... (+5 more)
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cs.CV
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17 |
3 years ago |
| 379 |
Adversarial De-confounding in Individualised Treatment Effects Estimation
Vinod Kumar Chauhan, Soheila Molaei, ... (+4 more)
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cs.LG
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17 |
3 years ago |
| 380 |
EGG-GAE: scalable graph neural networks for tabular data imputation
Lev Telyatnikov, Simone Scardapane
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👻
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cs.LG
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17 |
3 years ago |
| 381 |
On-Demand Communication for Asynchronous Multi-Agent Bandits
Yu-Zhen Janice Chen, Lin Yang, ... (+5 more)
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cs.LG
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16 |
3 years ago |
| 382 |
Anderson acceleration of coordinate descent
Quentin Bertrand, Mathurin Massias
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👻
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stat.ML
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16 |
5 years ago |
| 383 |
Experimental Design for Regret Minimization in Linear Bandits
Andrew Wagenmaker, Julian Katz-Samuels, Kevin Jamieson
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👻
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cs.LG
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16 |
5 years ago |
| 384 |
Quantifying intrinsic causal contributions via structure preserving interventions
Dominik Janzing, Patrick Blöbaum, ... (+4 more)
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cs.AI
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16 |
6 years ago |
| 385 |
A Reduction from Reinforcement Learning to No-Regret Online Learning
Ching-An Cheng, Remi Tachet des Combes, ... (+2 more)
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cs.LG
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16 |
6 years ago |
| 386 |
Comparison Based Learning from Weak Oracles
Ehsan Kazemi, Lin Chen, ... (+2 more)
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cs.LG
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16 |
8 years ago |
| 387 |
Discriminative Learning of Prediction Intervals
Nir Rosenfeld, Yishay Mansour, Elad Yom-Tov
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👻
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cs.LG
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16 |
8 years ago |
| 388 |
Large Scale Empirical Risk Minimization via Truncated Adaptive Newton Method
Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro
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math.OC
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16 |
9 years ago |
| 389 |
Belief Propagation in Conditional RBMs for Structured Prediction
Wei Ping, Alexander Ihler
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cs.LG
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16 |
9 years ago |
| 390 |
Tradeoffs for Space, Time, Data and Risk in Unsupervised Learning
Mario Lucic, Mesrob I. Ohannessian, ... (+2 more)
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stat.ML
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16 |
10 years ago |
| 391 |
Data Driven Resource Allocation for Distributed Learning
Travis Dick, Mu Li, ... (+4 more)
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cs.LG
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16 |
10 years ago |
| 392 |
Learning a Single Neuron for Non-monotonic Activation Functions
Lei Wu
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Ghosted
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stat.ML
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16 |
4 years ago |
| 393 |
Minimum-Entropy Coupling Approximation Guarantees Beyond the Majorization Barrier
Spencer Compton, Dmitriy Katz, ... (+3 more)
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cs.IT
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15 |
3 years ago |
| 394 |
Online Competitive Influence Maximization
Jinhang Zuo, Xutong Liu, ... (+3 more)
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cs.LG
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15 |
6 years ago |
| 395 |
Expressiveness and Learning of Hidden Quantum Markov Models
Sandesh Adhikary, Siddarth Srinivasan, ... (+2 more)
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cs.LG
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15 |
6 years ago |
| 396 |
LIBRE: Learning Interpretable Boolean Rule Ensembles
Graziano Mita, Paolo Papotti, ... (+2 more)
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cs.LG
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15 |
6 years ago |
| 397 |
Clustering Time Series with Nonlinear Dynamics: A Bayesian Non-Parametric and Particle-Based Approach
Alexander Lin, Yingzhuo Zhang, ... (+5 more)
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stat.ML
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15 |
7 years ago |
| 398 |
The LORACs prior for VAEs: Letting the Trees Speak for the Data
Sharad Vikram, Matthew D. Hoffman, Matthew J. Johnson
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cs.LG
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15 |
7 years ago |
| 399 |
Probabilistic Semantic Inpainting with Pixel Constrained CNNs
Emilien Dupont, Suhas Suresha
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👻
Ghosted
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cs.CV
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15 |
7 years ago |
| 400 |
Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference
Mike Wu, Noah Goodman, Stefano Ermon
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👻
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cs.LG
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15 |
7 years ago |