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Optimization

1,664 papers

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Papers

Decentralized SGD and Average-direction SAM are Asymptotically Equivalent ICML 2023
spred: Solving L1 Penalty with SGD ICML 2023
Delay-penalized CTC Implemented Based on Finite State Transducer INTERSPEECH 2023
Blank Collapse: Compressing CTC Emission for the Faster Decoding INTERSPEECH 2023
Improving Label Assignments Learning by Dynamic Sample Dropout Combined with Layer-wise Optimization in Speech Separation INTERSPEECH 2023
A Neural State-Space Modeling Approach to Efficient Speech Separation INTERSPEECH 2023
FRA-RIR: Fast Random Approximation of the Image-source Method INTERSPEECH 2023
Automatic Tuning of Loss Trade-offs without Hyper-parameter Search in End-to-End Zero-Shot Speech Synthesis INTERSPEECH 2023
Time-synchronous one-pass Beam Search for Parallel Online and Offline Transducers with Dynamic Block Training INTERSPEECH 2023
Implementing Contextual Biasing in GPU Decoder for Online ASR INTERSPEECH 2023
Automatic Exploration of Optimal Data Processing Operations for Sound Data Augmentation Using Improved Differentiable Automatic Data Augmentation INTERSPEECH 2023
An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex Optimization JMLR 2023
Decentralized Learning: Theoretical Optimality and Practical Improvements JMLR 2023
Global Convergence of Sub-gradient Method for Robust Matrix Recovery: Small Initialization, Noisy Measurements, and Over-parameterization JMLR 2023
Fast Objective & Duality Gap Convergence for Non-Convex Strongly-Concave Min-Max Problems with PL Condition JMLR 2023
On the Dynamics Under the Unhinged Loss and Beyond JMLR 2023
On Learning Rates and Schrödinger Operators JMLR 2023
GeoLS: Geodesic Label Smoothing for Image Segmentation MIDL 2023
TACCL: Guiding Collective Algorithm Synthesis using Communication Sketches NSDI 2023
Better Together: Jointly Optimizing ML Collective Scheduling and Execution Planning using SYNDICATE NSDI 2023
Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning NIPS 2022
Differentiable Analog Quantum Computing for Optimization and Control NIPS 2022
Scale-invariant Learning by Physics Inversion NIPS 2022
A Fast Scale-Invariant Algorithm for Non-negative Least Squares with Non-negative Data NIPS 2022
On the SDEs and Scaling Rules for Adaptive Gradient Algorithms NIPS 2022