Search Results for author:
Found 6 papers, 2 papers with code
Contextual Dynamic Pricing: Algorithms, Optimality, and Local Differential Privacy Constraints
In particular, we propose a stochastic gradient descent based ETC algorithm that achieves an optimal regret upper bound of order $d\sqrt{T}/\epsilon$, up to a logarithmic factor, where $\epsilon>0$ is the privacy parameter.
SciAssess: Benchmarking LLM Proficiency in Scientific Literature Analysis
Recent breakthroughs in Large Language Models (LLMs) have revolutionized scientific literature analysis.
Probing Deep Speaker Embeddings for Speaker-related Tasks
Results show that all deep embeddings encoded channel and content information in addition to speaker identity, but the extent could vary and their performance on speaker-related tasks can be tremendously different: ECAPA-TDNN is dominant in discriminative tasks, and d-vector leads the guiding tasks, while regulating task is less sensitive to the choice of speaker representations.
Speaker-Aware Mixture of Mixtures Training for Weakly Supervised Speaker Extraction
Dominant researches adopt supervised training for speaker extraction, while the scarcity of ideally clean corpus and channel mismatch problem are rarely considered.
Target Confusion in End-to-end Speaker Extraction: Analysis and Approaches
However, its performance is often inferior to that of a blind source separation (BSS) counterpart with a similar network architecture, due to the auxiliary speaker encoder may sometimes generate ambiguous speaker embeddings.
Functional Linear Regression with Mixed Predictors
We derive finite sample theoretical guarantees and show that the excess prediction risk of our estimator is minimax optimal.
Statistics Theory Methodology Statistics Theory
