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← Optimization & Theory
Machine Learning
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Optimization & Theory
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Stochastic Processes
2,667 papers
Papers per year
2003: 4
2004: 1
2005: 2
2006: 9
2007: 11
2008: 17
2009: 18
2010: 30
2011: 36
2012: 37
2013: 50
2014: 56
2015: 60
2016: 77
2017: 132
2018: 154
2019: 211
2020: 244
2021: 311
2022: 279
2023: 376
2024: 326
2025: 157
2026: 69
Papers
Shape Matters: Understanding the Implicit Bias of the Noise Covariance
COLT 2021
Double Explore-then-Commit: Asymptotic Optimality and Beyond
COLT 2021
(Nearly) Dimension Independent Private ERM with AdaGrad Rates\{via Publicly Estimated Subspaces
COLT 2021
Stochastic Approximation for Online Tensorial Independent Component Analysis
COLT 2021
Posterior Promoted GAN With Distribution Discriminator for Unsupervised Image Synthesis
CVPR 2021
Learning Deep Latent Variable Models by Short-Run MCMC Inference With Optimal Transport Correction
CVPR 2021
Online Learning of a Probabilistic and Adaptive Scene Representation
CVPR 2021
Diffusion Probabilistic Models for 3D Point Cloud Generation
CVPR 2021
SMD-Nets: Stereo Mixture Density Networks
CVPR 2021
RelWalk - A Latent Variable Model Approach to Knowledge Graph Embedding
EACL 2021
How Certain is Your Transformer?
EACL 2021
Reanalyzing the Most Probable Sentence Problem: A Case Study in Explicating the Role of Entropy in Algorithmic Complexity
EACL 2021
Is “moby dick” a Whale or a Bird? Named Entities and Terminology in Speech Translation
EMNLP 2021
MRF-Chat: Improving Dialogue with Markov Random Fields
EMNLP 2021
A Generative Framework for Simultaneous Machine Translation
EMNLP 2021
Uncertainty-Aware Balancing for Multilingual and Multi-Domain Neural Machine Translation Training
EMNLP 2021
Uncertainty Measures in Neural Belief Tracking and the Effects on Dialogue Policy Performance
EMNLP 2021
When in Doubt: Improving Classification Performance with Alternating Normalization
EMNLP 2021
The diffusion of scientific terms – tracing individuals’ influence in the history of science for English
EMNLP 2021
Neural TMDlayer: Modeling Instantaneous Flow of Features via SDE Generators
ICCV 2021
Inference of Black Hole Fluid-Dynamics From Sparse Interferometric Measurements
ICCV 2021
Likelihood-Based Diverse Sampling for Trajectory Forecasting
ICCV 2021
Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards
ICML 2021
Preferential Temporal Difference Learning
ICML 2021
Annealed Flow Transport Monte Carlo
ICML 2021
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