Efficiently Solving MDPs with Stochastic Mirror Descent
Comments ICML 2020
期刊&会议
ICML
International Conference on Machine Learning · 会议 · Machine Learning
Meta-Learning with Shared Amortized Variational Inference
Comments ICML 2020
Representing Unordered Data Using Complex-Weighted Multiset Automata
Comments Thirty-seventh International Conference on Machine Learning (ICML 2020)
Kernelized Stein Discrepancy Tests of Goodness-of-fit for Time-to-Event Data
Comments Proceedings of the International Conference on Machine Learning, 2020
Graph Structure of Neural Networks
Comments ICML 2020, with open-source code
Efficient Continuous Pareto Exploration in Multi-Task Learning
Comments ICML 2020 camera-ready. Code: https://github.com/mit-gfx/ContinuousParetoMTL
Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels
Comments published at ICML 2020
Neuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning"
Comments Published in Proceedings of the 37th International Conference on Machine Learning (ICML), Online, PMLR 119, 2020
Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
Comments Accepted into ICML 2020
LowFER: Low-rank Bilinear Pooling for Link Prediction
Comments Accepted by ICML'20
MCU-Net: A framework towards uncertainty representations for decision support system patient referrals in healthcare contexts
Comments 4 pages, 4 figures,Spotlight Talk at KDD 2020 - Applied Data Science for Healthcare Workshop & presented at ICML 2020: Uncertainty and Robustness in Deep Learning
Partial Trace Regression and Low-Rank Kraus Decomposition
Journal ref International Conference on Machine Learning, Jul 2020, Vienne (Online), Austria
Learning Reasoning Strategies in End-to-End Differentiable Proving
Comments Proceedings of the 37th International Conference on Machine Learning (ICML 2020)
Unbiased Risk Estimators Can Mislead: A Case Study of Learning with Complementary Labels
Comments Accepted at ICML 2020
FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis
Comments ICML 2020: https://icml.cc/virtual/2020/poster/6277
Adaptive Estimator Selection for Off-Policy Evaluation
Comments Fixed some typos. Published in ICML 2020
What Can Learned Intrinsic Rewards Capture?
Comments ICML 2020. The first two authors contributed equally
My Fair Bandit: Distributed Learning of Max-Min Fairness with Multi-player Bandits
Comments ICML 2020
Dispersed Exponential Family Mixture VAEs for Interpretable Text Generation
Comments Camera ready version for ICML 2020
Competitive caching with machine learned advice
Comments Preliminary versions appeared in ICML 18 and SysML 18. The current version improves the presentation of the suggested framework (Section 2.2), provides a more clear discussion on how it can be more broadly applied, and fixes some more minor presentation issues in other sections
Bayesian Differential Privacy for Machine Learning
Comments International Conference on Machine Learning (ICML 2020). 15 pages, 5 figures, 1 table
Slide-free MUSE Microscopy to H&E Histology Modality Conversion via Unpaired Image-to-Image Translation GAN Models
Comments 4 pages plus 1 page references. Presented at the ICML Computational Biology Workshop 2020
Interactive Visualization for Debugging RL
Comments Builds on preliminary work presented at ICML 2020 (WHI) arXiv:2007.05577. An interactive demo of the system can be at https://tinyurl.com/y5gv5t4m
Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning
Comments ICML 2020
Few-shot Domain Adaptation by Causal Mechanism Transfer
Comments 33 pages, 3 figures. Camera-ready version for Thirty-seventh International Conference on Machine Learning (ICML 2020)
The Non-IID Data Quagmire of Decentralized Machine Learning
Journal ref International Conference on Machine Learning (ICML), 2020
Learning selection strategies in Buchberger's algorithm
Comments 14 pages, minor typo and format fixes, to appear in Proceedings of the 37th International Conference on Machine Learning (ICML 2020)
Training Binary Neural Networks using the Bayesian Learning Rule
Comments accepted by ICML 2020, the camera-ready version
Learning and Evaluating Contextual Embedding of Source Code
Comments Published in ICML 2020. This version (v.3) is the final camera-ready version of the paper. It contains the re-computed results, based on the open-sourced datasets
Facial Recognition: A cross-national Survey on Public Acceptance, Privacy, and Discrimination
Comments ICML 2020 - Law and Machine Learning Workshop, Vienna, Austria
